SOTAVerified

Collision Avoidance

Papers

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Showing 251–275 of 569 papers

TitleStatusHype
Reliable and Efficient Data Collection in UAV-based IoT Networks—0
Predicting the Position Uncertainty at the Time of Closest Approach with Diffusion Models—0
Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning—0
Spacecraft Autonomous Decision-Planning for Collision Avoidance: a Reinforcement Learning Approach—0
Proactive Emergency Collision Avoidance for Automated Driving in Highway Scenarios—0
Efficient CPU-Optimized Parameter Estimation for Modeling Fish Schooling Behavior in Large Particle Systems—0
Comparison of path following in ships using modern and traditional controllers—0
Navigating the Ocean with DRL: Path following for marine vessels—0
AI on the Water: Applying DRL to Autonomous Vessel Navigation—0
Constructive barrier feedback for collision avoidance in leader-follower formation control—0
PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning—0
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning—0
Learning Gradient Fields for Scalable and Generalizable Irregular Packing—0
Path Following Control of Automated Vehicle Considering Uncertainties and Disturbances with Parametric Varying—0
Control of Vehicle Platoons with Collision Avoidance Using Noncooperative Differential Games—0
Bearing-Based Target Entrapping Control of Multiple Uncertain Agents With Arbitrary Maneuvers—0
Safety-Critical Control of Nonholonomic Vehicles in Dynamic Environments using Velocity Obstacles—0
Neuroadaptation in Physical Human-Robot Collaboration—0
Safe Non-Stochastic Control of Control-Affine Systems: An Online Convex Optimization Approach—0
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds—0
Collision Avoidance and Navigation for a Quadrotor Swarm Using End-to-end Deep Reinforcement Learning—0
Interpretable and Flexible Target-Conditioned Neural Planners For Autonomous Vehicles—0
Decentralized Online Learning in Task Assignment Games for Mobile Crowdsensing—0
Toward collision-free trajectory for autonomous and pilot-controlled unmanned aerial vehicles—0
Towards Robust and Efficient Communications for Urban Air Mobility—0
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Benchmark Results

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