Towards Realizing Autonomous Driving Based on Distributed Decision Making for Complex Urban Environments

Similar documents
The connected vehicle is the better vehicle!

Safe, comfortable and eco-friendly, Smart Connected Society

Copyright 2016 by Innoviz All rights reserved. Innoviz

Intelligent Mobility for Smart Cities

Le développement technique des véhicules autonomes

CONNECTED PROPULSION - THE FUTURE IS NOW

Andrey Berdichevskiy, World Economic Forum. Future of Urban and Autonomous Mobility: Bringing Autonomy On and Beyond the Streets of Boston

IN SPRINTS TOWARDS AUTONOMOUS DRIVING. BMW GROUP TECHNOLOGY WORKSHOPS. December 2017

A Communication-centric Look at Automated Driving

An Innovative Approach

China Intelligent Connected Vehicle Technology Roadmap 1

THE FAST LANE FROM SILICON VALLEY TO MUNICH. UWE HIGGEN, HEAD OF BMW GROUP TECHNOLOGY OFFICE USA.

REGULATORY APPROVAL OF AN AI-BASED AUTONOMOUS VEHICLE. Alex Haag Munich,

EPSRC-JLR Workshop 9th December 2014 TOWARDS AUTONOMY SMART AND CONNECTED CONTROL

SMART ROAD. The innovative road that runs with progress

Activity-Travel Behavior Impacts of Driverless Cars

The Imperative to Deploy. Automated Driving. CC MA-Info, 15th December 2016 Dr. Hans-Peter Hübner Kay (CC/EB4) Stepper

PORTUGUESE NETWORK FOR C-ITS

AUTONOMOUS VEHICLES & HD MAP CREATION TEACHING A MACHINE HOW TO DRIVE ITSELF

Cooperative Autonomous Driving and Interaction with Vulnerable Road Users

AUTONOMOUS VEHICLES: PAST, PRESENT, FUTURE. CEM U. SARAYDAR Director, Electrical and Controls Systems Research Lab GM Global Research & Development

Traffic Operations with Connected and Automated Vehicles

3/16/2016. How Our Cities Can Plan for Driverless Cars April 2016

5G ve Araçlararası Haberleşmenin Geleceği

MindSphere The IoT operating system for smart cities. Hakan Olcay, Energy Efficiency Coordinator at Siemens

Smart systems. Smart traffic. Siemens Intelligent Traffic Systems

Deep Learning Will Make Truly Self-Driving Cars a Reality

Fujitsu Intelligent Mobility Solution

Urban Solutions for public and semi-public areas Panel Discussion: Electro-Mobility, a smart city enabler

Park Smart. Parking Solution for Smart Cities

BMW GROUP DIALOGUE. HANGZHOU 2017 TAKE AWAYS.

FLYING CAR NANODEGREE SYLLABUS

D.J.Kulkarni, Deputy Director, ARAI

AND CHANGES IN URBAN MOBILITY PATTERNS

Smart Cities Transformed Using Semtech s LoRa Technology

Automated Driving - Object Perception at 120 KPH Chris Mansley

Driving simulation and Scenario Factory for Automated Vehicle validation

Connected vehicles on European roads: benefits for safety and traffic management

Intelligent Transportation Systems. Secure solutions for smart roads and connected highways. Brochure Intelligent Transportation Systems

SMART ROAD. The innovative road that runs with progress

VALET project: how connected and automated driving will change urban parking? Proposition technique

THE FUTURE OF TRANSPORTATION DESIGN WITH AV/CV TECHNOLOGY

MEMS Sensors for automotive safety. Marc OSAJDA, NXP Semiconductors

EMERGING TRENDS IN AUTOMOTIVE ACTIVE-SAFETY APPLICATIONS

Modelling Shared Mobility in City Planning How Transport Planning Software Needs to Change ptvgroup.com

OPERATIONAL CHALLENGES OF ELECTROMOBILITY

The Self-Driving Network : How to Realize It Kireeti Kompella, CTO, Engineering

Robert Bosch Australia: Advice on automated and zero emission vehicle infrastructure for Infrastructure Victoria

Driver Assistance & Autonomous Driving

Interactive Mobility Management without Sensors or Hardware. A platform for Pushing Mobility Policies to the end User

What s Next in Technology

Syllabus: Automated, Connected, and Intelligent Vehicles

DA to AD systems L3+: An evolutionary approach incorporating disruptive technologies

END TO END NEEDS FOR AUTONOMOUS VEHICLES NORM MARKS SEPT. 6, 2018

Smart Control for Electric/Autonomous Vehicles

The Role of Infrastructure Connected to Cars & Autonomous Driving INFRAMIX PROJECT

5G V2X. The automotive use-case for 5G. Dino Flore 5GAA Director General

Embedding Technology in Transportation Courses Symposium on Active Student Engagement in Civil and Transportation Engineering

Findings from the Limassol SUMP study

Autonomous Urban Mobility

Automated Vehicles: Terminology and Taxonomy

Shaping the mobility of tomorrow tackling parking challenges today. Dr. Rolf Nicodemus November 12 th 2015 London. Connected P ARKING

Megatrends and their Impact on the Future of Mobility

BROCHURE. End-to-end microgrid solutions From consulting and advisory services to design and implementation

Recent Transportation Projects

Intelligent Drive next LEVEL

APCO International. Emerging Technology Forum

Connected & Autonomous Vehicles: Developing the UK Supply Chain

MAX PLATFORM FOR AUTONOMOUS BEHAVIORS

Cooperative brake technology

CSE 352: Self-Driving Cars. Team 14: Abderrahman Dandoune Billy Kiong Paul Chan Xiqian Chen Samuel Clark

G4 Apps. Intelligent Vehicles ITS Canada ATMS Detection Webinar June 13, 2013

Share with the GHSEA. Smart Energy Initiatives. Collaboration and a partner eco-system to achieve results

Amman Green Policies Projects and Challenges. Prepared by: Eng. Sajeda Alnsour Project coordinator Sept. 20, 2017

Leveraging AI for Self-Driving Cars at GM. Efrat Rosenman, Ph.D. Head of Cognitive Driving Group General Motors Advanced Technical Center, Israel

AUTOPILOT presentation

The intelligent Truck safe, autonomous, connected. N. Mustafa Üstertuna Mercedes-Benz Türk A.Ş.

Smart cities & effective mobility management solutions - 25 th March, San Paulo ViajeoPLUS Latin American Innovation week.

Data Challenge Goethe University Frankfurt Mobility options in smart cities. DB Systel GmbH Norbert Schaffitzel T.IVP 21 Frankfurt 19/04/2018

LOBO. Dynamic parking guidance system

WHITE PAPER Autonomous Driving A Bird s Eye View

Making Places Last Sustainable Homes & Communities Monique Seth CEO Conigital Group. exploring the art of the possible

2018 Schaeffler Symposium 9/6/2018 Philip A. George Foundations of Disruption Preparing for the Uncertainty of Tomorrow s Personal Mobility Challenge

Autonomous Vehicles: Status, Trends and the Large Impact on Commuting

Toward the Realization of Sustainable Mobility

THE FUTURE OF AUTONOMOUS CARS

Efficiency Matters for Mobility. Presented at A3PS ECO MOBILITY 2018 Vienna, Austria November 12 th and 13 th, 2018

The Impact of Digital Twin on Transportation Infrastructure Monitoring & Maintenance

European Conference on Nanoelectronics and Embedded Systems for Electric Mobility. Internet of Energy Ecosystems Solutions

Brignolo Roberto, CRF ETSI Workshop Feb, , Sophia Antipolis

Our Businesses. Environment. Safety. Advanced Vehicle Control Systems

INNOVATION AND REGULATION IN SUSTAINABLE MOBILITY, CHALLENGES AND OPPORTUNITIES

Autonomous Driving. AT VOLVO CARS Jonas Ekmark Manager Innovations, Volvo Car Group

AN The SmartSensor HD as an Automatic Traffic Recorder. Automatic Traffic Recorders

Why mobility, why now?

DOE s Focus on Energy Efficient Mobility Systems

Connected Vehicles. V2X technology.

AUTOCITS. Regulation Study for Interoperability in the Adoption the Autonomous Driving in European Urban Nodes. LISBON Pilot

Safety for Self-driving Cars

Simulation-based Transportation Optimization Carolina Osorio

Transcription:

Towards Realizing Autonomous Driving Based on Distributed Decision Making for Complex Urban Environments M.Sc. Elif Eryilmaz on behalf of Prof. Dr. Dr. h.c. Sahin Albayrak

Digital Mobility Our vision Intelligent vehicle is good But Intelligent environment is better... 2

Digital Mobility Our vision Make the road talk to vehicles Equip the roads with different sensors Enable the vehicles to communicate with each other Computation resources for decision making Vehicles equipped with different sensors Decision logics for assistance system Communication mechanisms is Open & Urban 3

DigiNet-PS Aims at Achieving Open & Distributed Intelligent Solutions for Autonomous Driving in Urban Environment Ernst-Reuter-Platz Brandenburger Tor

Digitized Environment Open & Distributed Intelligent Solutions for Autonomous Driving in Urban Environment

Digitized Environment Intelligent Vehicle Stereo Kamera 1 Kameras für 360 Vision LIDAR RADAR Application Unit Communication Unit Vehicle Device Provider Open & Distributed Intelligent Solutions for Autonomous Driving in Urban Environment

Digitized Environment Intelligent Vehicle Intelligent Infrastructure Open & Distributed Intelligent Solutions for Autonomous Driving in Urban Environment

DAI-Labor Digitized Environment Intelligent Vehicle Intelligent Infrastructure Intelligent Cloud & Datacenter Open & Distributed Intelligent Solutions for Autonomous Driving in Urban Environment

Digitized Environment Intelligent Vehicle Intelligent Infrastructure Intelligent Cloud & Datacenter Intelligent Communication Open & Distributed Intelligent Solutions for Autonomous Driving in Urban Environment

DigiNet-PS Impacts on Vehicle Manufacturers Can we test the impacts of our envisioned evolution path Analyze the outcome Create use cases for the testing? Many others 01 Driver Assistance Vehicle can assist the driver or take control of either vehicle s speed, its lane position 03 Limited self-driving Automation that takes over all safety-critical functions under certain traffic conditions. Driver is available for occasional control. 05 Full self-driving under all conditions Vehicle can operate without human driver 00 No Automation Driver is in complete and sole control of brakes, steering, throttle, and motive power at all times. 02 Occasional selfdriving Vehicle can take control of both vehicle s speed and lane position in some situation 04 Full self-driving in some conditions Vehicle is in full control for the entire trip in these conditions such as urban ride sharing 11

DigiNet-PS Impacts on Government and Citizens Government Citizens Study the impact of autonomous driving on citizens Predict major changes to urban landscape Faced with Study citizens perception by realizing various use case scenarios Analog cities / Traditional cities Digital cities / Smart cities 11

DigiNet-PS Impacts on entrepreneurs and startups Decision Logics Image Processing - Ecosystem - Business models for future transportation Study and inputs for the business model shifts Enable the entrance of new entrants in the market Simulations Many others Data 12

DigiNet-PS Impacts on existing markets License holder intelligent car Study the co-existence models Study the new business models New Markets Car Sharing Taxi services 13

DigiNet-PS Route Overview Complex Roundabouts Ernst-reuter-platz 3,65 km, three-lane each direction, with road markings 14 Brandenburget Tor

DigiNet-PS Route Overview Complex parking situations, marked and non-marked, parallel and slanted parking (about 1000 parking spaces), center island parking (about 600 parking spaces), separate parking areas Ernst-reuter-platz 3,65 km, three-lane each direction, with road markings 15 Brandenburget Tor

DigiNet-PS Route Overview 15 traffic control systems with group control for vehicles, bicycles, pedestrians and handicapped, each having a different topology Complex traffic situations, rush hour traffic, governmental convoys Ernst-reuter-platz 3,65 km, three-lane each direction, with road markings 16 Brandenburget Tor

Digital DigiNet-PS Mobility Vehicle Our Solution vision Suite Additional functions & sensors New sensors New functions Intelligent Decision Making Platform Machine learning Proactive / Reactive Local decisions Test Vehicles Q5. 6

National Schaufenster for Autonomous Driving Digital Roadside Mobility Unit Solution Our vision Suite Roadside Units Router DSCRC WiFi/5G Microwave Parking Road condition Traffic Analysis Weather Environmental Traffic Light Intelligent Decision Making Platform Machine learning Proactive / Reactive Edge Computing 7

National Schaufenster for Autonomous Driving Digital DigiNet-PS Mobility Cloud Solution Our vision Suite Digital Mobility Our vision Control & Visualization Center Facilitates in implementation of use cases Visualization of KPIs Cloud infrastructure Hyperflex GPUs Transport Network Aggregation Network Intelligent Decision Making Platform Machine learning Reactive Prediction Engine Intelligent Core Network SDN, NFV, SON, etc. 8

National Schaufenster for Autonomous Driving Digital DigiNet-PS Mobility Decisions Our Hierarchy vision Global View & Control Machine learning Proactive decisions Integrating stakeholders & huge heterogeneous sensory data Cloud Solution Suite Wide-range Backhaul Local Decision Making Edge computing Time critical decisions Cellular Communication (LTE) Short Range Communication Stereo Kamera 1 Kameras für 360 Vision Vehicle Analysis Plan LIDAR RADAR DM Application Unit Sense Execute Communication Unit Vehicle Device Provider 9

National Schaufenster for Autonomous Driving DigiNet-PS Key Outcomes Roadside Unit Edge Processing & Decisions Intelligent Cloud - Machine learning approaches for proactive DM - Autonomic network Management - Control & Management applications - Development APIs for different stakeholders - Applications & logic for coexisting with traditional vehicles Use Cases Vehicle Testing Protocol Road Navigator App Uni Shuttle Application Development Control Center Environmental Friendly Driving Vehicle Vehicle Software Stack + new functions Sustainability Reduce fuel consumption and pollution Avoiding search for parking spaces Avoiding congested routes Avoiding stop & go by choosing suitable speed and lane (green wave) Safety Reduce accidents Efficiency Reduced travel time 10

Infrastructure for Street Digitization 23

Infrastructure for Street Digitization Activity Analyzer Traffic Analyzer Queue Detection Parking Traffic Analysis Visualizes motion and dwelling time Objective measurement of hot spots Compiles statistical evaluations Adjustable duration and intervals of evaluation Automatic counting of vehicles (passenger cars, trucks, motorbikes) Classification into twowheel, passenger car and bus/truck Up to four lanes Output in minutes, hours, days, weeks and months Alarm if a defined queue length is reached Crowd analysis & crowd density estimation Analyzing the speed of the flow Estimation of the average waiting time 24

Infrastructure for Street Digitization Parking Traffic Analysis 24

Infrastructure for Street Digitization Parking Traffic Analysis Weather Temperature, Relative humidity, Precipitation intensity, Precipitation type, Precipitation quantity, Air pressure, Wind direction, Wind speed 26

Infrastructure for Street Digitization Parking Traffic Analysis Weather 27

Infrastructure for Street Digitization Parking Traffic Analysis Weather Road Condition Layer thickness of water, snow and ice, Surface conditions (dry, damp, wet, snow, ice), Friction, Road surface temperature 28

Infrastructure for Street Digitization Parking Traffic Analysis Weather Road condition 29

Infrastructure for Street Digitization Parking Traffic Analysis Weather Road condition Environm ental NO, No2 O3, PM1, PM2.5, PM10 30

Infrastructure for Street Digitization Parking Traffic Analysis Weather Road condition Environmental 31

Infrastructure for Street Digitization Parking Traffic Analysis Weather Road condition Environmental Intelligent light sensors 32

Infrastructure for Street Digitization Parking Traffic Analysis Weather Road condition Environmental Intelligent Light 33

Infrastructure for Street Digitization Parking Traffic Analysis Weather Road condition Environmental Intelligent Light Traffic Light 34

Infrastructure for Street Digitization Parking Traffic Analysis Weather Road condition Environmental Intelligent Light Traffic Light 36

Infrastructure for Street Digitization Parking Traffic Analysis Weather Road condition Environmental Intelligent Light Traffic Light Intelligent Communication Infrastructure 1 Access Network Node 2 Backhaul Network Node 3 Transport Network Node Connectivity of RSUs Backbone design

Unique Standpoint of DigiNet-PS Urban Open / Mixed traffic Intelligent Vehicle Intelligent Networks Distributed & autonomous decisions DigiNet-PS will help achieve Intelligent Vehicle with human driver like perception New Eco-systems & Business Opportunities Digital Urban Environment Improved Quality of Life

D r i v i n g i n a D i g i t i z e d C i t y Project Consortium

DAI-Labor Sekretariat TEL 14 Ernst-Reuter-Platz 7 D-10587 Berlin Get in touch elif.eryilmaz@dai-labor.de +49 30-314 74102 M.Sc. Elif Eryilmaz

DAI-Labor Sekretariat TEL 14 Ernst-Reuter-Platz 7 D-10587 Berlin Get in touch sahin.albayrak@dai-labor.de +49 30-314 74000 Prof. Dr. Dr. h.c. Sahin Albayrak