RSS'2024 Vehicle Demo - Self-Driving & Tele-Operation

Описание к видео RSS'2024 Vehicle Demo - Self-Driving & Tele-Operation

How can a self-driving vehicle safely and efficiently navigate amongst cyclists and pedestrians in a dense traffic environment (e.g. Delft city center)? What should be done if the vehicle gets stuck?

We demonstrated our progress on these challenges during a live demo at the RSS 2024 conference in Delft, July 2024.

A highlight of our self-driving stack is the Topology-Driven Model Predictive Control (T-MPC) motion planner by Oscar de Groot, Laura Ferranti, Dariu Gavrila and Javier Alonso-Mora. T-MPC optimizes multiple trajectories with different passing behaviors simultaneously, allowing the vehicle to quickly adapt to changes in its environment.
📄 Read the T-MPC paper: arxiv.org/pdf/2401.06021

And if the self-driving vehicle gets stuck, teleoperation could provide a remedy...

Thanks for contributing: Oscar de Groot, Alberto Bertipaglia, Hidde Boekema, Vishrut Jain, Marcell Kégl, Varun Kotian, Ted de Vries Lentsch, Yancong LIN, Chrysovalanto Messiou, Emma Schippers, Farzam Tajdari, Shiming Wang, Zimin Xia, Mubariz Zaffar, Ronald Ensing, Mario Garzon, Javier Alonso-Mora, Holger Caesar, Laura Ferranti, Riender Happee, Julian Kooij, Georgios Papaioannou, Barys Shyrokau and Dariu Gavrila.

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