Shader-based sensor simulation for autonomous car testing

Raúl Rojas, Miao Wang, Shuiying Wang, Steffen Heinrich – 2012

During autonomous car system development, sensor simulation can help to test and evaluate algorithms such as sensor fusion and object tracking in simulated dynamic scenarios at an early stage; thus, time and cost can be spared and more reliable system can be guaranteed. In this paper, shader-based LiDAR and Radar simulations are extended into autonomous car testing. Besides realizing sensor simulations producing information of interest scan data, conceptual programming interfaces to full featured physical models are also provided. Simulation accuracy is discussed and corresponding improvement methods are proposed. Optimistic results are displayed with a software-in-loop test for autonomous car and the computational cost is reported. Comparison between ray-tracing based and shader-based LiDAR simulation in terms of computational cost is also carried out and discussed.

Titel
Shader-based sensor simulation for autonomous car testing
Verfasser
Raúl Rojas, Miao Wang, Shuiying Wang, Steffen Heinrich
Verlag
IEEExplore Digital Library
Schlagwörter
sensor simulation autonomous car
Datum
2012-10
Kennung
DOI: 10.1109/ITSC.2012.6338904; ISSN: 2153-0009; E-ISBN: 978-1-4673-3062-6; Print ISBN: 978-1-4673-3064-0
Erschienen in
Proeedings of the 15th International IEEE Conference on Intelligent Transportation Systems
Sprache
eng
Größe oder Länge
224-229