Towards a Safe Real-Time Motion Planning Framework for Autonomous Driving Systems: An MPPI Approach
M Testouri, G Elghazaly, R Frank - arXiv preprint arXiv:2308.01654, 2023 - arxiv.org
Planning safe trajectories in Autonomous Driving Systems (ADS) is a complex problem to
solve in real-time. The main challenge to solve this problem arises from the various …
solve in real-time. The main challenge to solve this problem arises from the various …
Cooperative Perception Using V2X Communications: An Experimental Study
F Hawlader, F Robinet, R Frank - 2024 IEEE 100th Vehicular …, 2024 - ieeexplore.ieee.org
The development and testing of real-time perception capabilities is crucial to fully realize the
potential of connected and automated driving. This study presents a comprehensive …
potential of connected and automated driving. This study presents a comprehensive …
RoboCar: A Rapidly Deployable Open-Source Platform for Autonomous Driving Research
M Testouri, G Elghazaly, R Frank - arXiv preprint arXiv:2405.03572, 2024 - arxiv.org
This paper introduces RoboCar, an open-source research platform for autonomous driving
developed at the University of Luxembourg. RoboCar provides a modular, cost-effective …
developed at the University of Luxembourg. RoboCar provides a modular, cost-effective …
Towards a Safe Real-Time Motion Planning Framework for Autonomous Driving Systems: A Model Predictive Path Integral Approach
M Testouri, G Elghazaly, R Frank - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Planning safe trajectories in Autonomous Driving Systems (ADS) is a complex problem to
solve in real-time. The main challenge to solve this problem arises from the various …
solve in real-time. The main challenge to solve this problem arises from the various …