SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–460 of 920 papers

TitleStatusHype
Path Planning based on 2D Object Bounding-box—0
Path Planning Followed by Kinodynamic Smoothing for Multirotor Aerial Vehicles (MAVs)—0
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives—0
Path Signatures for Diversity in Probabilistic Trajectory Optimisation—0
PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning—0
PDE-based multi-agent formation control using flatness and backstepping: analysis, design and robot experiments—0
Pedestrian Prediction by Planning using Deep Neural Networks—0
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving—0
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations—0
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified