SOTAVerified

Motion Planning

( Image credit: Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 711–720 of 920 papers

TitleStatusHype
Analysis and Prediction of Pedestrian Crosswalk Behavior during Automated Vehicle Interactions—0
Analysis of Functional Insufficiencies and Triggering Conditions to Improve the SOTIF of an MPC-based Trajectory Planner—0
An Anytime Algorithm for Task and Motion MDPs—0
An Automaton Learning Approach to Solving Safety Games over Infinite Graphs—0
An Efficient B-spline-Based Kinodynamic Replanning Framework for Quadrotors—0
An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training—0
An Efficient Risk-aware Branch MPC for Automated Driving that is Robust to Uncertain Vehicle Behaviors—0
An enhanced motion planning approach by integrating driving heterogeneity and long-term trajectory prediction for automated driving systems—0
An Integrated Localisation, Motion Planning and Obstacle Avoidance Algorithm in Belief Space—0
A novel model-based heuristic for energy optimal motion planning for automated driving—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified