Trajectory Planning
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Benchmarks
Most implemented
Formation Control for Connected and Automated Vehicles on Multi-lane Roads: Relative Motion Planning and Conflict Resolution
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach
Prioritized Planning Algorithms for Trajectory Coordination of Multiple Mobile Robots
A Unified Framework for Trajectory Prediction with Explicit Planning and Reaction Decomposition
PathCover: A Fast Convex Decomposition along a Path via Randomized Iterative Space Partitioning (RISP) on Point Clouds
GPD-1: Generative Pre-training for Driving
Papers
One Diffusion Model, Two Roles: Guided Trajectory Planning and Safety-Critical Scenario Generation in Closed-Loop Simulation
Diffusion probabilistic models can capture the multi-modal, interaction-rich distribution of joint future trajectories in driving scenes. We show that a single pretrained diffusion traffic model can serve two complementa…
Trajectory PlanningAutonomous DrivingMotion PlanningLUCID: An Agentic AI Framework on Digital-Twin in the Loop for QoS-Guaranteeing Robotic Control
Cloud robotics relies on the timely uplink of high-volume sensing streams, yet dynamic environments continually shift the feasible combinations of trajectories, active-robot count, and per-robot QoS. Because existing app…
Trajectory PlanningCooperative Risk-Aware Exploration in Heterogeneous Multi-Robot Systems Using Algorithmic Altruism
Multi-robot systems are well-positioned for exploration in hazardous environments, but effective deployment requires deciding not only where robots should gather information, but also how risk should be distributed acros…
Trajectory PlanningSpatial-Semantic Reasoning using Large Language Models for Efficient UAV Search Operations
We present a real-time semantic navigation framework for Unmanned Aerial Vehicles (UAVs) focused on improving time efficiency in the Object Goal Navigation (ObjectNav) task. Central to our approach is a Large Language Mo…
Real-Time Object DetectionTrajectory PlanningRoadside-Cooperative Autonomous Driving: From Data Platform to Vision-Language End-to-End Reasoning
Vehicle-to-Everything (V2X) cooperation enables beyond-line-of-sight perception, mitigating occlusions in single-vehicle sensing. However, existing V2X benchmarks provide limited support for closed-loop evaluation and la…
Trajectory PlanningAutonomous DrivingA Collaborative Multi-Modality Interaction for VLA-based End-to-End Autonomous Driving
Vision-Language-Action (VLA) models have emerged as a powerful paradigm for end-to-end autonomous driving by jointly integrating perception, reasoning, and decision making within a unified multimodal framework. However, …
Visual Question AnsweringTrajectory PlanningAutonomous DrivingDecision Making