Driving Simulation Technologies for Sensor Simulation in SIL and HIL Environments
Authors:
Gregor Sievers, Caius Seiger, Michael Peperhowe, Holger Krumm, Sebastian Graf
Keywords:
autonomous driving, environment simulation, software-in-the-loop (SIL), hardware-in-the-loop (HIL)
Abstract:
The market introduction of autonomous vehicles is on the horizon. To fulfil the requirements of functional safety for autonomous driving (ISO 26262) the autonomous car needs to be test-driven by means of hundreds of millions of kilometers. To overcome the burdens of real test drives on public roads according to safety, costs, and time to market, virtual test methodologies can offer a way-out. Virtual driving tests can be divided in Software-In-The-Loop (SIL) and Hardware-In-The-Loop (HIL) simulation. This work presents a unified toolchain for SIL and HIL validation of autonomous driving functions. This tool chain allows for multiple injection options (e.g., object list, raw data, and over the air) for testing all different level of a sensor’s signal processing chain. The work is finally concluded by one example test system for camera raw data injection.
Cite this article
Sievers G.; Seiger C.; Peperhowe M.; Krumm H. and Graf S. Driving Simulation Technologies for Sensor Simulation in SIL and HIL Environments In: Proceedings of the Driving Simulation Conference 2018 Europe VR, Driving Simulation Association, Antibes, France, 2018, pp. 127-130
@inproceedings{Sievers2018,
title = {Driving Simulation Technologies for Sensor Simulation in SIL and HIL Environments},
author = {Gregor Sievers and Caius Seiger and Michael Peperhowe and Holger Krumm and Sebastian Graf},
editor = {Andras Kemeny and Florent Colombet and Frédéric Merienne and Stéphane Espié},
isbn = {978-2-85782-734-4},
year = {2018},
date = {2018-09-05},
booktitle = {Proceedings of the Driving Simulation Conference 2018 Europe VR},
pages = {127-130},
address = {Antibes, France},
organization = {Driving Simulation Association},
abstract = {The market introduction of autonomous vehicles is on the horizon. To fulfil the requirements of functional safety for autonomous driving (ISO 26262) the autonomous car needs to be test-driven by means of hundreds of millions of kilometers. To overcome the burdens of real test drives on public roads according to safety, costs, and time to market, virtual test methodologies can offer a way-out. Virtual driving tests can be divided in Software-In-The-Loop (SIL) and Hardware-In-The-Loop (HIL) simulation. This work presents a unified toolchain for SIL and HIL validation of autonomous driving functions. This tool chain allows for multiple injection options (e.g., object list, raw data, and over the air) for testing all different level of a sensor’s signal processing chain. The work is finally concluded by one example test system for camera raw data injection.},
keywords = {autonomous driving, environment simulation, hardware-in-the-loop (HIL), software-in-the-loop (SIL)},
}
TY - CONF TI - Driving Simulation Technologies for Sensor Simulation in SIL and HIL Environments AU - Sievers, Gregor AU - Seiger, Caius AU - Peperhowe, Michael AU - Krumm, Holger AU - Graf, Sebastian C1 - Antibes, France C3 - Proceedings of the Driving Simulation Conference 2018 Europe VR DA - 2018/09/05 PY - 2018 SP - 127 EP - 130 LA - en-US PB - Driving Simulation Association SN - 978-2-85782-734-4 L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2018/driving-simulation-technologies-for-sensor-simulation-in-sil-and-hil-environments ER -
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