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TEAADS CyPhy Test Environment for ADAS and Autonomous Driving Systems Dr. Helmut Kokal, AVL List GmbH Automotive.

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Presentation on theme: "TEAADS CyPhy Test Environment for ADAS and Autonomous Driving Systems Dr. Helmut Kokal, AVL List GmbH Automotive."— Presentation transcript:

1 TEAADS CyPhy Test Environment for ADAS and Autonomous Driving Systems Dr. Helmut Kokal, AVL List GmbH Automotive

2 Market relevance: Increasing extension of driver assistance systems in vehicles up to autonomous driving rises the need of automated test tools for cy-phy systems Highly tested safety functionality and reliability of automotive cy-phy systems such as ADAS and autonomous driving systems Guarantee efficiency and emission by the use of ADAS and aut. driving systems Legislation, driver acceptance and social acceptance are mandatory for successful establishing ADAS and autonomous driving Innovation: Automated and reproducible testing of ADAS and autonomous driving systems Business impact: More reliable and efficient testing of cy-phy systems Reduction of costs as disastrous consequences of road traffic accidents

3 Torque Stimuli &Simulation (Rest) Vehicle + powertain simulation Environment + traffic condition simulation (fog, night, rain, snow, traffic jam,..) Driver simulation Track simulation Maneuvers and test Low speed Manoever (Park,. Higher speed (ACC, lane ass,…) Ultrasonic Stimuli &Simulation Radar Stimuli &Simulation Video Stimuli &Simulation GPS stimulationsi mulation V2V + I2V simulation Navi V CU T CU E CU Lidar Stimuli &Simulation Autom.Driving Test generator

4 WP-Sensors WP-xCU Functions & Dev. WP-Simulation Environment WP-Requirements, Test Methodology Driver Acceptance Driveability, Usability Legislation Legal checks Social Acceptance Maneuvers selection Test generation HiL, Traffic simulation, Vehicle simulation, Test Environment Sensor stimuli and/or Sensor simulation xCU for ADAS and autonomous driving Sensors for ADAS and autonomous driving WP-Test Environment SIL/MIL HIL xIL Integration

5 XiL with surroundings sensors Current state of technology: Only simple target configurations with physical or electronic targets possible For stimulation by virtual targets totally new approaches are necessary: Situation and sensor type dependent stochastic perception models, calibra- ted on relevant application specific scenarios based on a valid metric Image sources: u.l. Bosch, u.r. Winner et.al., l. l. Continental Stimulation by virtual targets: Camera Possible by image generation Ultrasonic sensors + short range surroundings -- phase sensitive superposition, multipath Infrared Lidar - huge range to be considered + ray tracing techniques adaptable mm-Wave Radar - huge range surroundings -- phase sensitive superposition, multipath

6 Other potential partners Conti (DE), PTV (DE), Nat.Interested PartnersCovered Topics GERVALEOSensor development, xCU function development AUTUniversity of Linz / Prof. del ReIntegration & simulation expertise GERDaimlerRequirements, legislation, acceptance,… AUTTechnical University Graz / Prof. Horn Sensor stimuli/Micro Traffic GERTechnical University Darmstadt / Prof. Winner Sensor simulation AUTAVL List GmbHSimulation & test environment, testing methodology, systems engineering GERAVL RegensburgxCU Function Dev., Requirements GERInfineonEmbedded processors, near field sensors, combined sensors, sensor simulatiuon,


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