9.2 Autonomous Systems Design Initiative: Architectures and Frameworks for Autonomous Systems

Time	Label	Presentation Title Authors
08:30	9.2.1	DEEPRACING: A FRAMEWORK FOR AGILE AUTONOMY Speaker: Trent Weiss, University of Virginia, US Authors: Trent Weiss and Madhur Behl, University of Virginia, US Abstract We consider the challenging problem of vision-based high speed autonomous racing in realistic dynamic environments. We present DeepRacing, a novel end-to-end framework, and a virtual testbed for training and evaluating algorithms for autonomous racing. The virtual testbed is implemented using the Formula One (F1) Codemasters game, which is used by many real world F1 drivers for training. We also present AdmiralNet - a Convolution Neural Network (CNN) integrated with Long Short-Term Memory (LSTM) cells that can be tuned for the autonomous racing task in the highly realistic F1 game. We evaluate AdmiralNet's performance on unseen race tracks, and also evaluate the degree of transference between the simulation and the real world by implementing end-to-end racing on a physical 1/10 scale autonomous racecar. Download Paper (PDF; Only available from the DATE venue WiFi)
09:00	9.2.2	FAIL-OPERATIONAL AUTOMOTIVE SOFTWARE DESIGN USING AGENT-BASED GRACEFUL DEGRADATION Speaker: Philipp Weiss, TU Munich, DE Authors: Philipp Weiss¹, Andreas Weichslgartner², Felix Reimann² and Sebastian Steinhorst¹ ¹TU Munich, DE; ²Audi Electronics Venture GmbH, DE Download Paper (PDF; Only available from the DATE venue WiFi)
09:30	9.2.3	A DISTRIBUTED SAFETY MECHANISM USING MIDDLEWARE AND HYPERVISORS FOR AUTONOMOUS VEHICLES Speaker: Pieter van der Perk, NXP Semiconductors, NL Authors: Tjerk Bijlsma¹, Andrii Buriachevskyi², Alessandro Frigerio³, Yuting Fu², Kees Goossens⁴, Ali Osman Örs², Pieter J. van der Perk², Andrei Terechko² and Bart Vermeulen² ¹TNO, NL; ²NXP Semiconductors, NL; ³Eindhoven University of Technology, NL; ⁴Eindhoven university of technology, NL Download Paper (PDF; Only available from the DATE venue WiFi)
10:00		End of session

Time

Label

Presentation Title
Authors

08:30

9.2.1

DEEPRACING: A FRAMEWORK FOR AGILE AUTONOMY
Speaker:
Trent Weiss, University of Virginia, US
Authors:
Trent Weiss and Madhur Behl, University of Virginia, US
Abstract
We consider the challenging problem of vision-based high speed autonomous racing in realistic dynamic environments. We present DeepRacing, a novel end-to-end framework, and a virtual testbed for training and evaluating algorithms for autonomous racing. The virtual testbed is implemented using the Formula One (F1) Codemasters game, which is used by many real world F1 drivers for training. We also present AdmiralNet - a Convolution Neural Network (CNN) integrated with Long Short-Term Memory (LSTM) cells that can be tuned for the autonomous racing task in the highly realistic F1 game. We evaluate AdmiralNet's performance on unseen race tracks, and also evaluate the degree of transference between the simulation and the real world by implementing end-to-end racing on a physical 1/10 scale autonomous racecar.
Download Paper (PDF; Only available from the DATE venue WiFi)

09:00

9.2.2

FAIL-OPERATIONAL AUTOMOTIVE SOFTWARE DESIGN USING AGENT-BASED GRACEFUL DEGRADATION
Speaker:
Philipp Weiss, TU Munich, DE
Authors:
Philipp Weiss¹, Andreas Weichslgartner², Felix Reimann² and Sebastian Steinhorst¹
¹TU Munich, DE; ²Audi Electronics Venture GmbH, DE

Download Paper (PDF; Only available from the DATE venue WiFi)

09:30

9.2.3

A DISTRIBUTED SAFETY MECHANISM USING MIDDLEWARE AND HYPERVISORS FOR AUTONOMOUS VEHICLES
Speaker:
Pieter van der Perk, NXP Semiconductors, NL
Authors:
Tjerk Bijlsma¹, Andrii Buriachevskyi², Alessandro Frigerio³, Yuting Fu², Kees Goossens⁴, Ali Osman Örs², Pieter J. van der Perk², Andrei Terechko² and Bart Vermeulen²
¹TNO, NL; ²NXP Semiconductors, NL; ³Eindhoven University of Technology, NL; ⁴Eindhoven university of technology, NL

Download Paper (PDF; Only available from the DATE venue WiFi)

10:00

End of session