SOTAVerified

Collision Avoidance

Papers

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Showing 276–300 of 569 papers

TitleStatusHype
FIR-based Future Trajectory Prediction in Nighttime Autonomous DrivingCode0
Chance Constrained Stochastic Optimal Control Based on Sample Statistics With Almost Surely Probabilistic Guarantees—0
Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning—0
Chance Constrained Stochastic Optimal Control for Arbitrarily Disturbed LTI Systems Via the One-Sided Vysochanskij-Petunin Inequality—0
Distributed Safe Control Design and Probabilistic Safety Verification for Multi-Agent Systems—0
An Adaptive Fuzzy Reinforcement Learning Cooperative Approach for the Autonomous Control of Flock Systems—0
Sequential Spatial Network for Collision Avoidance in Autonomous Driving—0
BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving—0
UAV Path Planning Employing MPC- Reinforcement Learning Method Considering Collision Avoidance—0
Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments—0
Collision-free Source Seeking and Flocking Control of Multi-agents with Connectivity Preservation—0
A Review of Scene Representations for Robot Manipulators—0
Frenet-Cartesian Model Representations for Automotive Obstacle Avoidance within Nonlinear MPC—0
Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainty PredictionsCode1
Optimized Symbolic Interval Propagation for Neural Network Verification—0
DRIP: Domain Refinement Iteration with Polytopes for Backward Reachability Analysis of Neural Feedback Loops—0
Reward Function Optimization of a Deep Reinforcement Learning Collision Avoidance System—0
Quadratic Programming for Continuous Control of Safety-Critical Multi-Agent Systems Under Uncertainty—0
Normal Transformer: Extracting Surface Geometry from LiDAR Points Enhanced by Visual Semantics—0
Scalable Multi-Agent Reinforcement Learning through Intelligent Information AggregationCode1
Guided Conditional Diffusion for Controllable Traffic SimulationCode1
Singularity-free Formation Path Following of Underactuated AUVs: Extended Version—0
Optimization based coordination of autonomous vehicles in confined areas—0
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance—0
Approximate Stochastic Optimal Control for Linear Time Invariant Systems with Heavy-tailed DisturbancesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Eva-EVSAccuracy (L:R) - T168—Unverified