SOTAVerified

Trajectory Planning

Trajectory planning for industrial robots consists of moving the tool center point from point A to point B while avoiding body collisions over time. Trajectory planning is sometimes referred to as motion planning and erroneously as path planning. Trajectory planning is distinct from path planning in that it is parametrized by time. Essentially trajectory planning encompasses path planning in addition to planning how to move based on velocity, time, and kinematics.

Papers

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Showing 51–75 of 324 papers

TitleStatusHype
Resilient UAV Trajectory Planning via Few-Shot Meta-Offline Reinforcement Learning—0
Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks—0
Systems Engineering for Autonomous Vehicles; Supervising AI using Large Language Models (SSuperLLM)—0
Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous DrivingCode2
OpenLKA: an open dataset of lane keeping assist from market autonomous vehiclesCode1
RFPPO: Motion Dynamic RRT based Fluid Field - PPO for Dynamic TF/TA Routing Planning—0
DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers—0
Multi-UAV Collaborative Trajectory Planning for Seamless Data Collection and Transmission—0
WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language ModelCode1
GPD-1: Generative Pre-training for DrivingCode2
Towards Fast and Safety-Guaranteed Trajectory Planning and Tracking for Time-Varying Systems—0
A Spatial-Domain Coordinated Control Method for CAVs at Unsignalized Intersections Considering Motion Uncertainty—0
Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections—0
Calculation of time-optimal motion primitives for systems exhibiting oscillatory internal dynamics—0
Explanation for Trajectory Planning using Multi-modal Large Language Model for Autonomous Driving—0
Energy-efficient Hybrid Model Predictive Trajectory Planning for Autonomous Electric Vehicles—0
V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging ScenarioCode0
Learning Maximal Safe Sets Using Hypernetworks for MPC-based Local Trajectory Planning in Unknown Environments—0
Markov Potential Game with Final-time Reach-Avoid Objectives—0
Cooperative Trajectory Planning: Principles for Human-Machine System Design on Trajectory Level—0
Reinforced Imitative Trajectory Planning for Urban Automated DrivingCode1
EDRF: Enhanced Driving Risk Field Based on Multimodal Trajectory Prediction and Its Applications—0
Inadequate contrast ratio of road markings as an indicator for ADAS failure—0
Variations in Multi-Agent Actor-Critic Frameworks for Joint Optimizations in UAV Swarm Networks: Recent Evolution, Challenges, and Directions—0
BiC-MPPI: Goal-Pursuing, Sampling-Based Bidirectional Rollout Clustering Path Integral for Trajectory OptimizationCode1
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All datasetsnuScenesToolBench

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST-P3 (Lidar)Collision-3s1.27—Unverified
2UniADCollision-3s0.71—Unverified
3VAD-Base [jiang2023vad]Collision-3s0.24—Unverified
4AD-MLPCollision-3s0.24—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT4-TOPGUNWin rate86.54—Unverified
2Attention BucketWin rate71.5—Unverified
3GPT4- DFSDTWin rate70.4—Unverified