Autonomous vehicles on the edge: A survey on autonomous vehicle racing
The rising popularity of self-driving cars has led to the emergence of a new research field in
recent years: Autonomous racing. Researchers are developing software and hardware for …
recent years: Autonomous racing. Researchers are developing software and hardware for …
Indy autonomous challenge-autonomous race cars at the handling limits
Motorsport has always been an enabler for technological advancement, and the same
applies to the autonomous driving industry. The team TUM Autonomous Motorsports will …
applies to the autonomous driving industry. The team TUM Autonomous Motorsports will …
F1tenth: An open-source evaluation environment for continuous control and reinforcement learning
The deployment and evaluation of learning algorithms on autonomous vehicles (AV) is
expensive, slow, and potentially unsafe. This paper details the F1TENTH autonomous …
expensive, slow, and potentially unsafe. This paper details the F1TENTH autonomous …
A survey of deep learning techniques for autonomous driving
The last decade witnessed increasingly rapid progress in self‐driving vehicle technology,
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …
[图书][B] Creating autonomous vehicle systems
This book is one of the first technical overviews of autonomous vehicles written for a general
computing and engineering audience. The authors share their practical experiences …
computing and engineering audience. The authors share their practical experiences …
Deep learning for self-driving cars: Chances and challenges
Q Rao, J Frtunikj - Proceedings of the 1st international workshop on …, 2018 - dl.acm.org
Artificial Intelligence (AI) is revolutionizing the modern society. In the automotive industry,
researchers and developers are actively pushing deep learning based approaches for …
researchers and developers are actively pushing deep learning based approaches for …
Super-human performance in gran turismo sport using deep reinforcement learning
Autonomous car racing is a major challenge in robotics. It raises fundamental problems for
classical approaches such as planning minimum-time trajectories under uncertain dynamics …
classical approaches such as planning minimum-time trajectories under uncertain dynamics …
End-to-end driving in a realistic racing game with deep reinforcement learning
We address the problem of autonomous race car driving. Using a recent rally game (WRC6)
with realistic physics and graphics we train an Asynchronous Actor Critic (A3C) in an end-to …
with realistic physics and graphics we train an Asynchronous Actor Critic (A3C) in an end-to …
Autonomous driving-5 years after the urban challenge: The anticipatory vehicle as a cyber-physical system
In November 2007 the international competition DARPA Urban Challenge took place on the
former George Airforce Base in Victorville, California to significantly promote the research …
former George Airforce Base in Victorville, California to significantly promote the research …