Large models for intelligent transportation systems and autonomous vehicles: A survey
Large models are widely used in intelligent transportation systems (ITS) and autonomous
vehicles (AV) due to their excellent new capabilities such as intelligence emergence …
vehicles (AV) due to their excellent new capabilities such as intelligence emergence …
Feasible reachable policy iteration
The goal-reaching tasks with safety constraints are common control problems in real world,
such as intelligent driving and robot manipulation. The difficulty of this kind of problem …
such as intelligent driving and robot manipulation. The difficulty of this kind of problem …
Smooth Filtering Neural Network for Reinforcement Learning
Reinforcement learning (RL) has demonstrated considerable potential in addressing
intricate control and decision problems such as vehicle tracking control and obstacle …
intricate control and decision problems such as vehicle tracking control and obstacle …
Multi-Style Distributional Soft Actor-Critic: Learning a Unified Policy for Diverse Control Behaviors
Reinforcement learning (RL) has excelled in sequential decision-making and control tasks,
yet traditional RL algorithms are limited by adherence to a single control style in identical …
yet traditional RL algorithms are limited by adherence to a single control style in identical …
Inverse Model Predictive Control: Learning Optimal Control Cost Functions for MPC
F Zhang, J Duan, H Xu, H Chen, H Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Inverse optimal control (IOC) seeks to infer a control cost function that captures the
underlying goals and preferences of expert demonstrations. While significant progress has …
underlying goals and preferences of expert demonstrations. While significant progress has …
AFOcc: Multi-Modal Semantic Occupancy Prediction with Accurate Fusion
3D scene perception technology enhances the safety and decision-making ability of
autonomous vehicles by accurately acquiring and analyzing stereo information from the …
autonomous vehicles by accurately acquiring and analyzing stereo information from the …