SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 511–520 of 920 papers

TitleStatusHype
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
Anti-bullying Adaptive Cruise Control: A proactive right-of-way protection approach—0
Anytime Integrated Task and Motion Policies for Stochastic Environments—0
An Anytime Hierarchical Approach for Stochastic Task and Motion Planning—0
Approximate Inference-based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models—0
Approximating Constraint Manifolds Using Generative Models for Sampling-Based Constrained Motion Planning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified