A Risk-Aware Planning Framework of UGVs in Off-Road Environment.

CTS-CBS: A New Approach for Multi-Agent Collaborative Task Sequencing and Path Finding.

Griffin: Aerial-Ground Cooperative Detection and Tracking Dataset and Benchmark.

A Survey on Datasets for the Decision Making of Autonomous Vehicles.

RINO: Accurate, Robust Radar-Inertial Odometry with Non-Iterative Estimation.

A Generalized Control Revision Method for Autonomous Driving Safety.

S2O: An Integrated Driving Decision-making Performance Evaluation Method Bridging Subjective Feeling to Objective Evaluation.

CSDO: Enhancing Efficiency and Success in Large-Scale Multi-Vehicle Trajectory Planning.

DenserRadar: A 4D millimeter-wave radar point cloud detector based on dense LiDAR point clouds.

PreGSU-A Generalized Traffic Scene Understanding Model for Autonomous Driving based on Pre-trained Graph Attention Network.

UniLiDAR: Bridge the domain gap among different LiDARs for continual learning.

A Risk-aware Planning Framework of UGVs in Off-Road Environment.

SA-LSTM: A Trajectory Prediction Model for Complex Off-Road Multi-Agent Systems Considering Situation Awareness Based on Risk Field.

Decision-Making Driven by Driver Intelligence and Environment Reasoning for High-Level Autonomous Vehicles: A Survey.

Safe and Human-Like Trajectory Planning of Self-Driving Cars: A Constraint Imitative Method.

Accurate Pseudospectral Optimization of Nonlinear Model Predictive Control for High-Performance Motion Planning.

Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning.

A Survey on Datasets for Decision-making of Autonomous Vehicle.

4D Millimeter-Wave Radar in Autonomous Driving: A Survey.

Recent Advances in Automated Driving Technologies [From the Guest Editors].

System and Experiments of Model-Driven Motion Planning and Control for Autonomous Vehicles.

Confidence-Aware Reinforcement Learning for Self-Driving Cars.

Monocular Connected-Vehicle Position Estimation on Sloping and Uneven Roads.

Recent Advances in Motion Control, Estimation, and Diagnosis for Automated Vehicles [From the Guest Editors].

SUPER: A Novel Lane Detection System.

Preview Path Tracking Control With Delay Compensation for Autonomous Vehicles.

Highway Exiting Planner for Automated Vehicles Using Reinforcement Learning.

Graph-Embedded Lane Detection.

Eco-Driving Operation of Connected Vehicle With V2I Communication Among Multiple Signalized Intersections.

Design and Test of Speed Tracking Control for the Self-Driving Lincoln MKZ Platform.

Design, Analysis, and Experiments of Preview Path Tracking Control for Autonomous Vehicles.

Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning.

Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization.

Design and Experiments of Safeguard Protected Preview Lane Keeping Control for Autonomous Vehicles.

Design and Comparison of Fuel-Saving Speed Planning Algorithms for Automated Vehicles.

Performance Enhanced Predictive Control for Adaptive Cruise Control System Considering Road Elevation Information.

Instantaneous Feedback Control for a Fuel-Prioritized Vehicle Cruising System on Highways With a Varying Slope.

Fuel-Saving Cruising Strategies for Parallel HEVs.

Efficient and accurate computation of model predictive control using pseudospectral discretization.

Eco-Departure of Connected Vehicles With V2X Communication at Signalized Intersections.

Fuel-Optimal Cruising Strategy for Road Vehicles With Step-Gear Mechanical Transmission.