Self Driving Car
Self-driving car research aims to create vehicles capable of navigating and operating without human intervention, prioritizing safety and efficiency. Current efforts concentrate on improving perception (using cameras, LiDAR, and sensor fusion), planning robust and comfortable trajectories (employing reinforcement learning, optimization-based methods, and hybrid approaches), and handling complex scenarios like multi-agent interactions and adverse weather conditions. These advancements are crucial for enhancing road safety, optimizing traffic flow, and revolutionizing transportation systems.
Papers
June 5, 2023
AutoExp: A multidisciplinary, multi-sensor framework to evaluate human activities in self-driving cars
Carlos Crispim-Junior, Romain Guesdon, Christophe Jallais, Florent Laroche, Stephanie Souche-Le Corvec, Laure Tougne Rodet
Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence
Anna Dawid, Yann LeCun
April 21, 2023
March 13, 2023
January 28, 2023
December 30, 2022
December 1, 2022
November 29, 2022
September 6, 2022
September 5, 2022
August 1, 2022
July 26, 2022
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February 14, 2022
February 6, 2022
December 26, 2021
December 21, 2021