Trajectory Segmentation for the Autonomous Control of Backward Motion for Truck and Trailer. Dieter Zöbel
|
|
- Lynette Carroll
- 6 years ago
- Views:
Transcription
1 Trajectory Segmentation for the Autonomous Control of Backward Motion for Truck and Trailer Dieter Zöbel Universität Koblenz-Landau Fachbereich Informatik, Institut für Softwaretechnik Arbeitsgruppe Echtzeitsysteme
2 CONTENTS 1 Introduction 1 2 Trajectories for maneuvers 6 3 Extreme curves of the moving vehicle 12 4 Cover segments for extreme curves 15 5 Safe cover segments and corridors 18 6 Outlook 26 ii
3 1 Introduction University Koblenz-Landau, Germany Department of Computer Science Institute for Software Engineering Working Group Real-Time Systems Dieter Zöbel Elisabeth Balcerak David Polock Students Topics in research and education: Scheduling of real-time processes without resource constraints Validation of real-time contraints in operating systems Special course of studies: Mobile Systems autonomous safe auto-mobile Dieter Zöbel ITSC
4 Application area: Automation in logistics non automotive: management and administrative support for transport, exchange of goods and controlling internet based activities such as electronic contracts and billing mobile applications: guidance of trucks or the tracking of goods automotive: automatic guided vehicles (AGV) for storage automation tracking the road detection of traffic signs autonomous driving electronic shaft maneuvering of truck and trailer Dieter Zöbel ITSC
5 Scenario of application: Autonomous driving on a yard of a forwarding agency preconditions: restriction to the non-public traffic high precision in driving and brisk motions of the vehicle compliance of defined safety criterions expectations: saving of personnal costs permanent disposability of any vehicle on the yard the possibility for coherent integration of the vehicle s maneuvers into the workflow of a forwarding agency Dieter Zöbel ITSC
6 Motion planning for (ideal) articulated vehicles Given a yard without any obstacles and boundaries computation of a feasible trajectory control algorithm to make the vehicle follow the trajectory Basis: bike-model Dieter Zöbel ITSC
7 Motion planning for (real) articulated vehicles Safety criteria for the yard of a logistics center: Computation of a corridor that will never be left by the vehicle in motion. Constraints: trajectory inside the corridor modeling of obstacles (fixed and moving) formalization for the shape of a vehicle in motion estimation of deviations from the trajectory algorithms for path planning and motion control Measures to be taken: Definition of adequate geometric objects (segments) for path planning motion control Dieter Zöbel ITSC
8 2 Trajectories for maneuvers Intention: Canonical construction of trajectories motion planning based on polygons execution of standardized maneuvers 2500mm 2000mm 1500mm 1000mm 500mm 0mm 500mm 1000mm 1500mm 0mm Dieter Zöbel ITSC
9 Maneuver phases 1-2 inclination of truck and trailer 2-3 truck and trailer on a circular line 3-4 getting truck and trailer into a straight line Constraints: existance of a fixed relation between steering angle α circ and the inclination γ circ between truck and trailer for driving on a circular line maximal steering angle α max steering angle α circ between truck and trailer somewhere between 0 and α max Dieter Zöbel ITSC
10 Kinematic model Bike model: zl Settings: x-andy-position of the axle of the trailer rzl lza lzk aa.x(u, v) = rzk cos(u)+laa cos(u v) α rza rzk η za zk aa.y(u, v) = rzk sin(u)+laa sin(u v) u raa laa v direction of motion of the axle of the trailer aa γ δ(aa.y) δ(aa.x) = tan(u v) Dieter Zöbel ITSC
11 2500mm 2000mm 1500mm 1000mm 500mm 0mm 0mm 500mm 1000mm 1500mm EZauto The curves of the trailer for all maneuver phases Dieter Zöbel ITSC
12 The motion of truck and trailer for the maneuver phases 2500mm 2000mm 1500mm 1000mm 500mm 0mm 500mm 1000mm 1500mm 0mm Dieter Zöbel ITSC
13 Inclination γ as a function of the covered distance d α max γ Distance d corresponds to the curve covered by the axle of the trailer. This curve consists of different circular lines for the different maneuver phases. Computation of distance d: α circ α -20 α max -30 γ for inclination: α circ = α max 30 γ d d 1 2 = u(v 2 ) u(v 1 ) rzk d 2 3 = φ 2 3 rzk d d 3 4 = u(v 3 ) u(v 4 ) rzk α -20 circ -α max -30 γ for inclination: α circ = 25 Dieter Zöbel ITSC
14 3 Extreme curves of the moving vehicle From the bike model to the extent of a real vehicle A vehicle is described by a rectangle. The shape(t) is the perpendicular shadow of such a vehicle at time t. A vehicle in motion covers a certain space during a time interval. (x, y) cover(t 1,t 2 ) t, t 1 t t 2, (x, y) shape(t) Anomaly: the curvature of the wheels of a vehicle is not necessarily equal to the curvature of any point of its shape Dieter Zöbel ITSC
15 Extreme points of the articulated vehicle Six extreme points of a vehicle dominate its cover. zvr zvl zar zhr avl aal ahl avr aar ahr zal zhl Relevant extreme points for truck and trailer Dieter Zöbel ITSC
16 Extreme curves of the articulated vehicle Twelve extreme curves determine the cover of the articulated vehicle throughout the maneuver 3000mm 2500mm 2000mm 1500mm 1000mm 500mm 0mm 0mm 500mm 1000mm 1500mm Dieter Zöbel ITSC
17 4 Cover segments for extreme curves Context: description of the movement of the articulated vehicle by simple geometric forms: segments simple and efficient algorithms for path finding algorithms uniqueness in associating a vehicle to a segment for an instant of time Idea: rectangle for straight movements section of rings for circular movements (with center equal to the center c 23 of phase 2-3) Dieter Zöbel ITSC
18 Decision table for computing the section of a ring The radius of the ring is determined by rc min and rc max vehicle phase rc min rc max truck 1-2 construction final points 2-3 zar zvl or zhl 3-4 final points final points trailer 1-2 construction construction 2-3 aar avl or ahl 3-4 right aar construction 3-4 left aar final points Table for the change of direction by +45 Dieter Zöbel ITSC
19 3000mm 2500mm 2000mm 1500mm 1000mm 500mm 0mm 0mm 500mm 1000mm 1500mm EZauto Cover segment for a maneuver All extreme curves of a maneuver are covered by a section of a ring Dieter Zöbel ITSC
20 5 Safe cover segments and corridors A (real) vehicle in motion constitutes a typical real-time object with all the deficiencies regarding timeliness and precision. Considerable deficiencies by: in the precision of the perceived input data, e.g. angle γ in the precision of the perceived output data, e.g. steering angle α deficiencies due to the aging of input and output data deficiencies by the control algorithm Objective: Estimation of the possible cover of the articulated vehicle Dieter Zöbel ITSC
21 The real vehicle: a model truck EZauto Solid model at a scale of 1 : 16 with position and direction detection by triangulation Dieter Zöbel ITSC
22 Results with the model truck Precision of the trailer at the ramp: ±10mm bzw. ± Sollweg Anhaengerachse Vorderachse Dieter Zöbel ITSC
23 Strategies for safety Safety criteria: Truck and trailer do not leave the safe corridor at any time the (real) articulated vehicle is associated to exactly one safe cover segment at certain instances of time the (real) articulated vehicle passes from one safe cover segment to the next one Srategies: avoidance by estimation of the deviation due to control and data deficiencies detection by forecasting that the predefined space is left eventually The latter one operates with emergency halts and is less pessimistic with respect to the extent of predefined space for maneuvering. Dieter Zöbel ITSC
24 Computation of safe cover segments and safe corridors Steps in deriving the cover for articulated vehicles in motion: 1. derivation of the set of curves produced by the extreme points of the truck and trailer 2. covering of the curves by a simple geometric object: the segment (in terms of a rectangle or a part of a ring) 3. enlargement of the segment considering all kinds of deficiencies to a safe segment 4. application of a construction principle based on contact points to form a safe corridor by subsequent safe segments Invariant: At one instant of time there is exactly one safe segment that is to associated to a vehicle in motion covering its movements up to some eventual emergency halt. Dieter Zöbel ITSC
25 Timeliness for the detection strategy The control algorithm ca is executed every time period t mc. At time t ca algorithm ca operates on input data with an age up to t p An emergency halt is thrown by control algorithm ca at time t ca if the articulated vehicle is in danger to leave the the safe corridor up to time t ca + t mc + t h cycle i bound c k + c k - bound C k (t ca ) SI i t p t mc t h t ca Dieter Zöbel ITSC
26 Construction of safe segments EZauto 2500mm 2000mm 1500mm 1000mm 500mm 0mm 0mm 500mm 1000mm The extension of a cover segment to a safe cover segment is determined by the estimation of all sources of deficiencies over the interval t p + t mc + t h. Dieter Zöbel ITSC
27 2500mm 2000mm 1500mm 1000mm 500mm 0mm 0mm 500mm 1000mm EZauto Construction of safe corridors Dieter Zöbel ITSC
28 6 Outlook result: concept of safety for known (fixed or mobile) obstacles immediate questions: effective path planning based upon save cover segments solving the tradeoff between the size of cover segments and the frequency of emergency halts spin offs: a simulator for learner drivers in maneuvering articulated vehicles driving assistance e.g. for parking a car with caravans further research and development: cooperation and coordination of several articulated vehicles by dynamic acquisition of save cover segments integration of redundant sensors the two-axle-trailer Dieter Zöbel ITSC
Simulator of Multi-AGV Robotic Industrial Environments
Simulator of Multi-AGV Robotic Industrial Environments Krešimir Petrinec 1, Zdenko Kovačić 1, Alessandro Marozin 2 1 University of Zagreb, Faculty of EE&C, Unska 3, 10000 Zagreb, CROATIA 2 Euroimpianti
More informationZF Showcases Autonomous SafeRange Maneuvering Function for Trucks
Page 1/5, 2016-06-29 ZF Showcases Autonomous SafeRange Maneuvering Function for Trucks Innovation Truck 2016 features autonomous maneuvering function for greater efficiency and safety in the depot Stationary
More informationSafety of the Reinforcement Learning Based Functions, Challenges, Approaches
Fakultät für Informatik Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme und Robotik Safety of the Reinforcement Learning Based Functions, Challenges, Approaches Yingqiang Gao and Korbinian
More informationOptimal Motion Primitives for Multi-UAV Convoy Protection
Optimal Motion Primitives for Multi-UAV Convoy Protection A. ahmani, X. C. Ding and M. Egerstedt Abstract In this paper we study the problem of controlling a number of Unmanned Aerial Vehicles (UAVs) to
More informationRequirements Specification (SRS) Project Squeaky Wheel
Requirements Specification (SRS) Project Squeaky Wheel Authors: Team Autobots: Kevin Shreve Project Manager, Seung-Min Kim Project Facilitator, Andrew Crouch Domain Expert/Customer Liason, Cory Harter
More informationAVL List GmbH (Headquarters) Autonomous Driving. Validation and Testing - Challenges. Dr. Mihai Nica, Hermann Felbinger. Public
AVL List GmbH (Headquarters) Autonomous Driving Validation and Testing - Challenges Dr. Mihai Nica, Hermann Felbinger Our Experience for your Success AVL achieves unique results in regards to the development
More informationVerification of Simulation-Based Release Procedure for an Advanced Driver Assistance System. Dirk Fratzke, Julian King TÜV Süd ZF Friedrichshafen IPG
Verification of Simulation-Based Release Procedure for an Advanced Driver Assistance System Dirk Fratzke, Julian King TÜV Süd ZF Friedrichshafen IPG Project Objective & Contributions Addendum 78 UN Regulation
More informationHYBRID CONTROL FOR UAV-ASSISTED SEARCH AND RESCUE
Proceedings of IMECE 25 ASME 25 International Mechanical Engineering Congress and Exposition November 5-11, 25, Orlando, USA IMECE25-8648 HYBRID CONTROL FOR UAV-ASSISTED SEARCH AND RESCUE Allison D. Ryan
More informationInnovations in Central Data Management for Truck Compliance and Mobility - Vehicle Information in Motion
Michael Wieck International Road Dynamics, Inc. 7908 South Niagara Way, Centennial, CO 80112 303.905.7008 michael.wieck@irdinc.com Abstract Truck Compliance monitoring has matured in the US and elsewhere
More informationDNA for Automated Driving. Jeremy Dahan May 8 th, 2017
Jeremy Dahan May 8 th, 2017 Radar Camera LIDAR Sonar Steering Wheel Sensors 30 25 20 15 10 Wheel Speeds IMU / Gyro 5 0 Global Position 1999: Mercedes S-Class Distronic 2002: VW Phaeton ACC Moving objects
More informationsiemens.com/mobility Traffic simulation with PTV Vissim Leading-edge software fully integrated in the Sitraffic landscape
siemens.com/mobility Traffic simulation with PTV Vissim Leading-edge software fully integrated in the Sitraffic landscape For urban or interurban traffic, rail transport or private travel: To all kinds
More informationSoftware Requirements Specification (SRS) Automated Pedestrian Collision Avoidance System (APCA)
Software Requirements Specification (SRS) Automated Pedestrian Collision Avoidance System (APCA) Authors: Team GReEN; Garret Smith, Rebecca Collins, Eric Austin, Nikhil Andrews Customer: Mr. David Agnew,
More informationP2 - Public summary report
7 th Framework Programme INFSO-ICT 610542 P2 - summary report Workpackage WP1 Project management Editor(s) Andras Kovacs (BET) Status Final Distribution (PU) Issue date 2015-12-31 Creation date 2015-12-22
More informationPart III MATERIAL HANDLING AND IDENTIFICATION TECHNOLOGIES
Part III MATERIAL HANDLING AND IDENTIFICATION TECHNOLOGIES Chapters: 10.Material Transport Systems 11.Storage Systems 12.Automatic Identification and Data Capture Material Handling Technologies in the
More information1.224J/ESD.204J TRANSPORTATION OPERATIONS, PLANNING AND CONTROL: CARRIER SYSTEMS
1.224J/ESD.204J TRANSPORTATION OPERATIONS, PLANNING AND CONTROL: CARRIER SYSTEMS Professor Cynthia Barnhart Professor Nigel H.M. Wilson Fall 2003 1.224J/ ESD.204J Outline Sign-up Sheet Introductions Carrier
More informationBuilding Behavioral Competency into STPA Process Models for Automated Driving Systems
Building Behavioral Competency into STPA Process Models for Automated Driving Systems Shawn A. Cook, Hsing-Hua Fan, Krzysztof Pennar, Padma Sundaram General Motors Introduction Behavioral Competency is
More informationA new concept for experiment program planning for the fusion experiment Wendelstein 7-X
A new concept for experiment program planning for the fusion experiment Wendelstein 7-X J. Schacht, H. Laqua, M. Lewerentz, A. Spring Abstract The control and data acquisition system (codac system) for
More informationAutomated Guided Vehicles: Complete End-to-End Solutions Jana Kocianova & Craig Henry Manufacturing in America March 20-21, 2019
Automated Guided Vehicles: Complete End-to-End Solutions Jana Kocianova & Craig Henry Manufacturing in America March 20-21, 2019 Optimizing Production Flexibility with Automated Guided Vehicles (AGVs)
More informationTime-Optimal UAV Trajectory Planning for 3D Urban Structure Coverage
The 2008 ICRA Workshop on Cooperative Control of Multiple Heterogeneous UAVs for Coverage and Surveillance Time-Optimal UAV Trajectory Planning for 3D Urban Structure Coverage Peng Cheng Jim Keller Vijay
More informationAutomation Technologies for Commercial Vehicle Safety Screening
Rish Malhotra International Road Dynamics, Inc., Canada 702-43rd Street East, Saskatoon, SK S7K 3T9 306.653.6600 Rish.malhotra@irdinc.com Abstract Road agencies are mandated to improve highway safety for
More informationAUTONOMOUS VEHICLES & HD MAP CREATION TEACHING A MACHINE HOW TO DRIVE ITSELF
AUTONOMOUS VEHICLES & HD MAP CREATION TEACHING A MACHINE HOW TO DRIVE ITSELF CHRIS THIBODEAU SENIOR VICE PRESIDENT AUTONOMOUS DRIVING Ushr - Autonomous Driving Ushr Company History Industry leading & 1
More informationThe cooperative traffic system for the digital road of the future siemens.com/mobility
ESCoS The cooperative traffic system for the digital road of the future siemens.com/mobility ESCoS: The new benchmark for cooperative traffic systems! 2 The ongoing digitalization known in the industrial
More informationSoftware Framework for Highly Automated Driving EB robinos. Jared Combs July 27, 2017
Software Framework for Highly Automated Driving EB robinos Jared Combs July 27, 2017 Radar Camera LIDAR Sonar Steering Wheel Sensors 30 25 20 15 10 Wheel Speeds IMU / Gyro 5 0 Global Position 1999: Mercedes
More informationDIFFERENTIAL DRIVE AND STEERING CONTROL TECHNOLOGY OF AUTOMATIC NAVIGATION HANDLING TOOL BASED ON PLC
DIFFERENTIAL DRIVE AND STEERING CONTROL TECHNOLOGY OF AUTOMATIC NAVIGATION HANDLING TOOL BASED ON PLC Lei Wang 1, Qian Feng 2, Wenxue Huang 3, Bing Hu 4, Liye Su 5 1,2,3,4,5 North China University of Science
More informationDYNAMIC MODELLING AND SIMULATION OF A SIX WHEEL AUTOMATIC GUIDED VEHICLE
DYNAMIC MODELLING AND SIMULATION OF A SIX WHEEL AUTOMATIC GUIDED VEHICLE Bittencourt G. F., gufbittencourt@poli.ufrj.br Student, Department of Mechanical Engineering, Polytechnic School, Federal University
More informationNew technologies in furthering the international railway transport
New technologies in furthering the international railway transport ESCAP UIC Session Bangkok, 13 March 2015 Jerzy Wisniewski, UIC Department Director New technologies development to serve transport development
More informationDevelopment Tools for Active Safety Systems: PreScan and VeHIL
Development Tools for Active Safety Systems: PreScan and VeHIL F. Hendriks, M. Tideman and R. Pelders, TNO Automotive, The Netherlands R. Bours and X.Liu, TASS, China Keywords: Active safety systems; ADAS;
More informationPath Planning for Multi-AGV Systems based on Two-Stage Scheduling
Available online at www.ijpe-online.com vol. 13, no. 8, December 2017, pp. 1347-1357 DOI: 10.23940/ijpe.17.08.p16.13471357 Path Planning for Multi-AGV Systems based on Two-Stage Scheduling Wan Xu *, Qi
More informationANSYS Customization for Bridges and Prestressed Concrete Structures Analysis and Design
ANSYS Customization for Bridges and Prestressed Concrete Structures Analysis and Design Javier Aparicio Ingeciber, S.A. Isabella Maia Ingeciber, S.A. Eduardo Salete Ingeciber, S.A. Abstract This paper
More informationSelf-driving Robots in warehouses
Self-driving Robots in warehouses USD billion The Logistics Robots category is expected to grow by CAGR 15% until 2020 to reach $25billion* 30 25 Global logistics robots market value In 2014-2644 logistic
More informationModelling the mobile target covering problem using flying drones
Modelling the mobile target covering problem using flying drones Luigi Di Puglia Pugliese 1 Francesca Guerriero 1 Dimitrios Zorbas 2 Tahiry Razafindralambo 2 1 Department of Mechanics, Energy and Management
More informationAddressing Predictive Maintenance with SAP Predictive Analytics
SAP Predictive Analytics Addressing Predictive Maintenance with SAP Predictive Analytics Table of Contents 2 Extract Predictive Insights from the Internet of Things 2 Design and Visualize Predictive Models
More informationTractors and machinery for agriculture and forestry Test procedures for positioning and guidance systems in agriculture. Part 2:
INTERNATIONAL STANDARD ISO 12188-2 First edition 2012-09-15 Tractors and machinery for agriculture and forestry Test procedures for positioning and guidance systems in agriculture Part 2: Testing of satellite-based
More informationThe power of innovation. The new T 20SP/T 24 SP Electric Pallet Truck with Rider Platform. Linde Material Handling
The power of innovation. The new T 20SP/T 24 SP Electric Pallet Truck with Rider Platform. Linde Material Handling It takes first-class equipment to do a first-class job. Equipment that's thoroughly engineered
More informationUsing Safety Contracts to Verify Design Assumptions During Runtime
Using Safety Contracts to Verify Design Assumptions During Runtime Omar T. Jaradat and Sasikumar Punnekkat Mälardalen University (Västerås, Sweden) {omar.jaradat, sasikumar.punnekkat}@mdh.se 23rd International
More informationRendezvous of Multiple UAVs with Collision Avoidance using Consensus
Rendezvous of Multiple UAVs with Collision Avoidance using Consensus J G Manathara & D Ghose Department of Aerospace Engineering, Indian Institute of Science, Bangalore, India 560012. A R T I C L E I N
More informationDevelopment of a Micro Drive-Under Tractor - Research and Application
Development of a Micro Drive-Under Tractor - Research and Application Lothar Schulze, Sebastian Behling, and Stefan Buhrs Abstract The in-plant transport of goods is increasingly becoming automated. All
More informationWHAT IS NEW IN PTV VISSIM/VISWALK 11
WHAT IS NEW IN PTV VISSIM/VISWALK 11 Preamble Copyright: 2018 PTV AG, Karlsruhe PTV Vissim is a trademark of PTV AG All brand or product names in this documentation are trademarks or registered trademarks
More informationARROWHEAD AND INCREASED INFORMATION TRANSPARENCY BETWEEN FIELD DEVICES AND ERP
ARROWHEAD AND INCREASED INFORMATION TRANSPARENCY BETWEEN FIELD DEVICES AND ERP ARROWHEADS CONTRIBUTION TO THE IDEAL CONCEPT 2 IN THE PROCESS.IT ROADMAP CONTENT AVL List GmbH Initial situation Problem Motivation
More informationDesign Optimization of Ship Propellers by Means of Advanced Metamodel- Assisted Evolution Strategies
Design Optimization of Ship Propellers by Means of Advanced Metamodel- Assisted Evolution Strategies Michael Emmerich*, Jochen Hundemer+, Mihai-Christian Varcol+ Boris Naujoks++ and Moustafa Abdel-Maksoud+
More informationPrerequisite: Student must be registered for course and have valid Illinois Driver Permit
Module One Uniting Driver and Vehicle Title: Program Introduction- Session 1 Parent Night Prerequisite: Student must be registered for course and have valid Illinois Driver Permit Essential Learning Performance(s)
More informationProcess Selection and Design Dr. Richard Jerz
Process Selection and Design Dr. Richard Jerz 1 Learning Objectives Explain the strategic importance of process selection. Explain the influence that process selection has on an organization. Explore process
More informationConnected and Automated Trucks: What and When?
Connected and Automated Trucks: What and When? Steven E. Shladover, Sc.D. California PATH Program University of California, Berkeley International Urban Freight Conference Long Beach, October 18, 2017
More informationTimetable management and operational simulation: methodology and perspectives
Computers in Railways X 579 Timetable management and operational simulation: methodology and perspectives A. Radtke Institut für Verkehrswesen, Eisenbahnbau und betrieb, University of Hannover, Germany
More informationmaterial handling modeling in
material handling modeling in Andrei Borshchev Nikolay Churkov December 2017 The AnyLogic Company www.anylogic.com AnyLogic is the most used simulation software see LinkedIn user group sizes and number
More informationDeposited on: 13 July 2009
Kim, J. and Kim, Y. (2009) Optimal circular flight of multiple UAVs for target tracking in urban areas. In: Lazinica, A. (ed.) Intelligent Aerial Vehicles. IN-TECH, Vienna, Austia. ISBN 9789537619411 http://eprints.gla.ac.uk/6253/
More informationAVHS encompass a wide and complex variety of technologies, such as artificial intelligence,
CONCLUSIONS AVHS encompass a wide and complex variety of technologies, such as artificial intelligence, image processing, machine vision, expert systems, advanced materials, and microelectronics. The status
More informationAvailable theses (March 2016) Unmanned Autonomous Vehicles
Available theses (March 2016) Unmanned Autonomous Vehicles UAV group 2 Luca Bascetta luca.bascetta@polimi.it Gianni Ferretti gianni.ferretti@polimi.it Giambattista Gruosso giambattista.gruosso@ polimi.it
More informationTravel Demand Model Questions
Travel Demand Model Questions Are we using the right kind of tools to address the scenarios we are trying to analyze? Are we missing tools? Are we working at the appropriate level of spatial, temporal
More informationUsing Simulation To Solve The Vehicle Ferry Revenue Management Problem
Using Simulation To Solve The Vehicle Ferry Revenue Management Problem Chris Bayliss, Julia Bennell, Christine Currie, Antonio Martinez-Skyora, Mee-Chi So OR58, September 2016 This work was funded by the
More informationOptimal Design Methodology for an AGV Transportation System by Using the Queuing Network Theory
Optimal Design Methodology for an AGV Transportation System by Using the Queuing Network Theory Satoshi Hoshino 1, Jun Ota 1, Akiko Shinozaki 2, and Hideki Hashimoto 2 1 Dept. of Precision Engineering,
More informationMOTION PLANNING FOR AUTOMATED GUIDED VEHICLE
MOTION PLANNING FOR AUTOMATED GUIDED VEHICLE 1. Robert Bosch Department of Mechatronics, University of Miskolc, 3515 Miskolc, HUNGARY 1. Ákos CSERVENÁK Abstract: This paper deals with further development
More informationEvaluation of Display Methods for Teleoperation of Road Vehicles
Evaluation of Display Methods for Teleoperation of Road Vehicles Frederic Chucholowski 9th International Conference on Intelligent Unmanned Systems 2013-09-27 Frederic Chucholowski Driverless vehicle delivery
More informationJayBoT. Automatic Guided Vehicle
JayBoT Automatic Guided Vehicle JayBoT Automatic Guided Vehicle (AGV) Finally, a simple AGV solution for mid-sized applications an affordable entry point into automation, specifically designed to grow
More informationEPSRC Centre for Doctoral Training in Industrially Focused Mathematical Modelling
EPSRC Centre for Doctoral Training in Industrially Focused Mathematical Modelling Swarm Robotics in Bearing-Only Formations Joseph Field Contents 1. Introduction... 2 2. Formulating the Problem... 3 Glossary
More informationWhite Paper. Demand Shaping. Achieving and Maintaining Optimal Supply-and-Demand Alignment
White Paper Demand Shaping Achieving and Maintaining Optimal Supply-and-Demand Alignment Contents Introduction... 1 Sense-Interpret-Respond Architecture... 2 Sales and Operations Planning... 3 Scenario
More informationI-710 Project Committee Meeting
Los Angeles County Metropolitan Transportation Authority I-710 Project Committee Meeting January 29, 2009 Meeting Expectations Review I-710 planning context Concur on a port cargo forecast scenario to
More informationS6 AGVS Drive-Under Tractor
2015 S6 AGVS Drive-Under Tractor Manu Systems AG 22.01.2015 Version 1.2 I. WORLD OF ROBOTS... 3 A. Marke / Brand... 3 B. Artikel / Item... 3 II. AGVS Application... 4 A. Introduction... 4 B. E-Commerce
More informationTRANSPORTATION RESEARCH BOARD. Design of Interchange Loop Ramps and Pavement/ Shoulder Cross-Slope Breaks. Monday, November 13, :00-3:30PM ET
TRANSPORTATION RESEARCH BOARD Design of Interchange Loop Ramps and Pavement/ Shoulder Cross-Slope Breaks Monday, November 13, 2017 2:00-3:30PM ET The Transportation Research Board has met the standards
More informationThe 4.0 age of predictive simulation. WITNESS User Group, Italy, October 10th
The 4.0 age of predictive simulation WITNESS User Group, Italy, October 10th Eric GAURY, Sales manager, LANNER France 20+ years of experience with simulation Working with Lanner since 2001 (consultant,
More informationAppendix B. OKI 2030 Regional Transportation Plan Project Scoring Process. Ohio Kentucky Indiana Regional Council of Governments
Appendix B OKI 2030 Regional Transportation Plan Project Scoring Process APPENDIX B OKI 2030 REGIONAL TRANSPORTATION PLAN PROJECT SCORING PROCESS Background This scoring process is intended to assist selection
More informationPotential of a Galileo Test Environment for Rail Applications
Institute of Automatic Control Potential of a Galileo Test Environment for Rail Applications October 21st, 2010 René Rütters IRT, RWTH Aachen University, Germany Outline 1 railgate 2 Automated train formation
More informationAgenda. Overview of Mobile Industrial Robots Future Steps for Mobile Industrial Robots Products Safety & Certifications Questions and Comments
Agenda Overview of Mobile Industrial Robots Future Steps for Mobile Industrial Robots Products Safety & Certifications Questions and Comments Overview MIR is a leading manufacturer of collaborative mobile
More informationPORT TECHNOLOGY OF THE FUTURE
Proceedings 29-30th August 2012 Kay McGinley/Roisin Murray PORT TECHNOLOGY OF THE FUTURE Ms. Kay McGinley Mphil Research Student Dublin Institute of Technology. Department of Transport Engineering, Bolton
More informationAn Escape Maneuvering Approach for Cooperative UAVs in Collision Avoidance Situation
An Escape Maneuvering Approach for Cooperative UAVs in Collision Avoidance Situation B. M. Albaker, N. A. Rahim UMPEDAC Research Centre, Malaya University Kuala Lumpur, Malaysia baraamalbaker@ymail.com
More informationPlanning and Sourcing
Planning and Sourcing Sales Forecast Accuracy A Lot of Talk, but Is There Enough Action? Facilitated by Matt Wilkerson and Colin Maxwell September 9-10, 2008 New Orleans, LA Session Content Analysis of
More informationA MICROSCOPIC TRAFFIC SIMULATION BASED DECISION SUPPORT SYSTEM FOR REAL-TIME FLEET MANAGEMENT
A MICROSCOPIC TRAFFIC SIMULATION BASED DECISION SUPPORT SYSTEM FOR REAL-TIME FLEET MANAGEMENT City CEDM City Distribution CEDM Distribution Terminal Terminal LOGISTICS BASE Jaume Barceló Hanna Grzybowska
More informationKey Benefits. Overview. Field Service empowers companies to improve customer satisfaction, first time fix rates, and resource productivity.
Field Service empowers companies to improve customer satisfaction, first time fix rates, and resource productivity. Microsoft delivers advanced scheduling, resource optimization and mobile enablement capabilities
More informationExtending the lifetime of your wind turbine
Extending the lifetime of your wind turbine SHM.Tower Our intelligent and cost-effective tower vibration monitoring system. Valuable for a precise analysis of the lifetime of your wind turbine for its
More informationII. Presentation of the Project
I. Introduction The Royal Canadian Mounted Police started using Unmanned Aerial Vehicles to help with their work on collision and crime scene investigations. It allows the investigations to be conducted
More informationOptimisation of the blank holder stiffness in deep drawing processes by using FEA
Optimisation of the blank holder stiffness in deep drawing processes by using FEA Ranko Radonjic 1a, Mathias Liewald 1b, Fei Han 1c 1 University of Stuttgart, Institute for Metal Forming Technology Abstract
More informationFrom: Michael L. Sena To: Nick Bradley Ref: Safe Operation of Large Vehicles through Map-based ADAS Re: Proposed Article for Vision Zero
15 August 2009 From: Michael L. Sena To: Nick Bradley Ref: Safe Operation of Large Vehicles through Map-based ADAS Re: Proposed Article for Vision Zero SAFE OPERATION OF LARGE VEHICLES THROUGH MAP-BASED
More informationSoftware Requirements Specification (SRS) Project Lane Management System
Lane Management System 1 Software Requirements Specification (SRS) Project Lane Management System Authors: Adam Pruim, Curtis Notarantonio, Jacob Heisey, Qiuning Ren, Matt Chebowski Customer: Dr. S Ramesh,
More informationNavigating an Auto Guided Vehicle using Rotary Encoders and Proportional Controller
International Journal of Integrated Engineering, Vol. 9 No. 2 (2017) p. 71-77 Navigating an Auto Guided Vehicle using Rotary Encoders and Proportional Controller Sung How Lee 1, Kim Seng Chia 1,* 1 Faculty
More informationFLC-based Landing Approach and Collision Avoidance Path Planner for Multiple Aircraft and Runways
50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 09-12 January 2012, Nashville, Tennessee AIAA 2012-0489 FLC-based Landing Approach and Collision Avoidance
More informationMulti-Objective Design and Path Planning Optimization of Unmanned Aerial Vehicles (UAVs)
Multi-Objective esign and Path Planning Optimization of Unmanned Aerial Vehicles (UAVs) Eliot Rudnick-Cohen 1,3 Shapour Azarm 1 Jeffrey W. Herrmann 1,2 1 epartment of Mechanical Engineering 2 Institute
More informationAutonomous Driving the uncrashable car? What it takes to make self-driving vehicles safe and reliable traffic participants
Autonomous Driving the uncrashable car? What it takes to make self-driving vehicles safe and reliable traffic participants Dr. Frank Keck, MMB Conference 2018, Erlangen, Germany Internal Agenda Zukunft
More informationNavigation System for Omni-directional Automatic Guided Vehicle with Mecanum Wheel
IOSR Journal of Electrical and Electronics Engineering (IOSRJEEE) ISSN: 2278-1676 Volume 2, Issue 3 (Sep-Oct. 2012), PP 35-39 Navigation System for Omni-directional Automatic Guided Vehicle with Mecanum
More informationFORMATION FLIGHT OF FIXED-WING UAVS USING ARTIFICIAL POTENTIAL FIELD
FORMATION FLIGHT OF FIXED-WING UAVS USING ARTIFICIAL POTENTIAL FIELD Yoshitsugu Nagao*and Kenji Uchiyama* *Department of Aerospace Engineering, Nihon University csyo1217@g.nihon-u.ac.jp, uchiyama@aero.cst.nihon-u.ac.jp
More informationComfortable Efficient Parking!
t r a n s p o r t s y s t e m s Comfortable Efficient Parking! UP TO 60% MORE PARKING SPACE RAY Page 05 How it works Page 07 Convenience Page 09 Efficiency Page 11 Proximity Page 13 Simplicity Page 15
More informationAutomatic Guided Vehicle Systems (AGVS) Towing Vehicles
Automatic Guided Vehicle (AGVS) Towing Vehicles AGVS Benefits Deliver and move loads upon demand Zone containment of manual fork lift trucks Improved response time Safe vehicle movement Elimination of
More informationJack Weast. Principal Engineer, Chief Systems Engineer. Automated Driving Group, Intel
Jack Weast Principal Engineer, Chief Systems Engineer Automated Driving Group, Intel From the Intel Newsroom 2 Levels of Automated Driving Courtesy SAE International Ref: J3061 3 Simplified End-to-End
More informationDriver Assistance and Autonomous Driving
Driver Assistance and Autonomous Driving Opportunities, Challenges, Solutions New levels at comfort, safety & efficiency Peter Schoeggl, Mario Oswald, Rainer Voegl, Philipp Clement, Michael Stolz, Erich
More informationAutomated Negotiation System in the SCM with Trade-Off Algorithm
Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering (MCM 2015) Barcelona, Spain July 20-21, 2015 Paper No. 246 Automated Negotiation System in the SCM with Trade-Off Algorithm
More informationOptimal Recruitment of Smart Vehicles for Reputation-Aware Public Sensing
Optimal Recruitment of Smart Vehicles for Reputation-Aware Public Sensing Sherin Abdel Hamid, Hatem Abou-zeid, Hossam S. Hassanein, and Glen Takahara School of Computing, Queen s University, Kingston,
More informationPrecision Autonomous Farming
Precision Autonomous Farming A/Prof. Jay Katupitiya University of New South Wales, Sydney, AUSTRALIA School of Mechanical and Manufacturing Engineering What this presentation is about... Thoughts on how
More informationPESIT Bangalore South Campus Hosur road, 1km before Electronic City, Bengaluru -100 Department of Computer Science and Engineering
INTERNAL ASSESSMENT TEST 1 Date : 30-08-2017 Max Marks: 50 Subject & Code : Artificial Intelligence / CS764 Sections : A, B and C Name of faculty: Ms.Sudeepa (A & C)/Ms.Pooja (B) Time : 11.30am 1:00pm
More informationHierarchical Traffic Control for Partially Decentralized Coordination of Multi AGV Systems in Industrial Environments
Hierarchical Traffic Control for Partially Decentralized Coordination of Multi AGV Systems in Industrial Environments Valerio Digani, Lorenzo Sabattini, Cristian Secchi and Cesare Fantuzzi Abstract This
More informationRelease Note DESIGN OF CIVIL STRUCTURES. Release Date : Aug. 13, 2013 Product Ver. : Civil 2013 v3.1
Release Note Release Date : Aug. 13, 2013 Product Ver. : Civil 2013 v3.1 DESIGN OF CIVIL STRUCTURES Integrated Solution System for Bridge and Civil Engineering Enhancements 1. Improvements in Pushover
More informationHVTT14: A TRANSFORMATION IN FREIGHT PRODUCTIVITY A CASE STUDY OF HIGH PRODUCTIVITY MOTOR VEHICLES IN NEW ZEALAND
HVTT14: A TRANSFORMATION IN FREIGHT PRODUCTIVITY A CASE STUDY OF HIGH PRODUCTIVITY MOTOR VEHICLES IN NEW ZEALAND David Silvester Freight Portfolio Director NZ Transport Agency New Zealand David is a senior
More informationSIMULATIONS OF MOTION OF PROTOTYPE RAILWAY WAGON WITH ROTATABLE LOADING FLOOR CARRIED OUT IN MSC ADAMS SOFTWARE
Journal of KONES Powertrain and Transport, Vol. 19, No. 4 2012 SIMULATIONS OF MOTION OF PROTOTYPE RAILWAY WAGON WITH ROTATABLE LOADING FLOOR CARRIED OUT IN MSC ADAMS SOFTWARE Tadeusz Niezgoda, Wies aw
More informationImproved workflow Proficy optimizes production processes at Brüggen GmbH
Improved workflow Proficy optimizes production processes at As different as a heavy-weight truck and a small van may look there s one thing they re sure to have in common: the swap systems, box semitrailers
More informationBrüggen GmbH Improves Workflow by Optimizing Processes
Brüggen GmbH Improves Workflow by Optimizing Processes As different as a heavy-weight truck and a small van may look there s one thing they re sure to have in common: the swap systems, box semitrailers,
More informationSelf-organization leads to supraoptimal performance in public transportation systems
Self-organization leads to supraoptimal performance in ation systems IIMAS & C3, UNAM http://turing.iimas.unam.mx/~cgg/teach/pamplona http://dx.plos.org/10.1371/journal.pone.0021469 1 2 3 4 5 6 7 Prediction
More informationSIMATIC RTLS, the locating platform for your digital enterprise siemens.com/simatic-rtls
Mobilize production. Maximize flexibility. SIMATIC RTLS, the locating platform for your digital enterprise siemens.com/simatic-rtls 2 Locating in precision. For a digital enterprise in motion. Are you
More informationEuropean Truck Platooning Challenge (pilot) 2016
European Truck Platooning Challenge (pilot) 2016 Shipper s viewpoint Truck platooning comprises of a number of trucks closely following each other. This forms a platoon with several trucks reciprocally
More informationEngineering Software for Designing Cost Effective Mixed Material Vehicles
Engineering Software for Designing Cost Effective Mixed Material Vehicles Edward Bernardon, Vice President Strategic Automotive initiatives, Siemens PLM Software New Member of Siemens PL Specialized Engineering
More informationSupplementary Information for The Carbon Abatement Potential of High Penetration Intermittent Renewables
Supplementary Information for The Carbon Abatement Potential of High Penetration Intermittent Renewables Elaine K. Hart a and Mark Z. Jacobson a 1 Model updates A number of improvements were made to the
More informationThe Nature of Management Control Systems
The Nature of Management Control Systems Basic Concepts What does Control mean? Press the accelerator, and your car goes faster. Rotate the steering wheel, and it changes direction. Press the brake pedal,
More informationFlight Dynamics and Trajectory Modeling for a Strategic Long-Endurance Solar Unmanned Aircraft
Flight Dynamics and Trajectory Modeling for a Strategic Long-Endurance Solar Unmanned Aircraft B. M. Albaker, Member, IEEE UMPEDAC Research Centre, University of Malaya Kuala Lumpur, Malaysia baraaalbaker@um.edu.my
More information