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Article

Safe Vehicle Trajectory Planning in an Autonomous Decision Support Framework for Emergency Situations

by *,†, , and
COSYS-PICS-L, University Gustave Eiffel, 77202 Marne la Vallée, France
*
Author to whom correspondence should be addressed.
Current address: 25 Allée des Marronniers, 78000 Versailles, France.
Academic Editor: Antonio Fernández-Caballero
Appl. Sci. 2021, 11(14), 6373; https://doi.org/10.3390/app11146373
Received: 25 May 2021 / Revised: 29 June 2021 / Accepted: 5 July 2021 / Published: 9 July 2021
(This article belongs to the Special Issue Human-Computer Interaction: Theory and Practice)
For a decade, researchers have focused on the development and deployment of road automated mobility. In the development of autonomous driving embedded systems, several stages are required. The first one deals with the perception layers. The second one is dedicated to the risk assessment, the decision and strategy layers and the optimal trajectory planning. The last stage addresses the vehicle control/command. This paper proposes an efficient solution to the second stage and improves a virtual Cooperative Pilot (Co-Pilot) already proposed in 2012. This paper thus introduces a trajectory planning algorithm for automated vehicles (AV), specifically designed for emergency situations and based on the Autonomous Decision-Support Framework (ADSF) of the EU project Trustonomy. This algorithm is an extended version of Elastic Band (EB) with no fixed final position. A set of trajectory nodes is iteratively deduced from obstacles and constraints, thus providing flexibility, fast computation, and physical realism. After introducing the project framework for risk management and the general concept of ADSF, the emergency algorithm is presented and tested under Matlab software. Finally, the Decision-Support framework is implemented under RTMaps software and demonstrated within Pro-SiVIC, a realistic 3D simulation environment. Both the previous virtual Co-Pilot and the new emergency algorithm are combined and used in a near-accident situation and shown in different risky scenarios. View Full-Text
Keywords: emergency situation; Autonomous Decision Support Framework; trajectory planning; virtual Co-Pilot; autonomous driving prototyping emergency situation; Autonomous Decision Support Framework; trajectory planning; virtual Co-Pilot; autonomous driving prototyping
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MDPI and ACS Style

Xu, W.; Sainct, R.; Gruyer, D.; Orfila, O. Safe Vehicle Trajectory Planning in an Autonomous Decision Support Framework for Emergency Situations. Appl. Sci. 2021, 11, 6373. https://doi.org/10.3390/app11146373

AMA Style

Xu W, Sainct R, Gruyer D, Orfila O. Safe Vehicle Trajectory Planning in an Autonomous Decision Support Framework for Emergency Situations. Applied Sciences. 2021; 11(14):6373. https://doi.org/10.3390/app11146373

Chicago/Turabian Style

Xu, Wei, Rémi Sainct, Dominique Gruyer, and Olivier Orfila. 2021. "Safe Vehicle Trajectory Planning in an Autonomous Decision Support Framework for Emergency Situations" Applied Sciences 11, no. 14: 6373. https://doi.org/10.3390/app11146373

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