LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving
The emergence of Multimodal Large Language Models ((M) LLMs) has ushered in new
avenues in artificial intelligence, particularly for autonomous driving by offering enhanced …
avenues in artificial intelligence, particularly for autonomous driving by offering enhanced …
Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-Making
Simulators generate diverse and realistic traffic scenarios to boost the development of
autonomous driving systems. However, existing simulators often fall short in scenario …
autonomous driving systems. However, existing simulators often fall short in scenario …
LCSim: A Large-Scale Controllable Traffic Simulator
With the rapid development of urban transportation and the continuous advancement in
autonomous vehicles, the demand for safely and efficiently testing autonomous driving and …
autonomous vehicles, the demand for safely and efficiently testing autonomous driving and …
Autonomous vehicle decision and control through reinforcement learning with traffic flow randomization
Y Lin, A Xie, X Liu - Machines, 2024 - mdpi.com
Most of the current studies on autonomous vehicle decision-making and control based on
reinforcement learning are conducted in simulated environments. The training and testing of …
reinforcement learning are conducted in simulated environments. The training and testing of …