SOTAVerified

Collision Avoidance

Papers

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Showing 201–250 of 569 papers

TitleStatusHype
DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments—0
Energy-efficient Merging of Connected and Automated Vehicles using Control Barrier Functions—0
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL—0
Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance—0
Enhanced Transfer Learning for Autonomous Driving with Systematic Accident Simulation—0
Enhancing Autonomous Driving Safety with Collision Scenario Integration—0
Do not trust the neighbors! Adversarial Metric Learning for Self-Supervised Scene Flow Estimation—0
Characterizing Within-Driver Variability in Driving Dynamics During Obstacle Avoidance Maneuvers—0
Distributed Swarm Collision Avoidance Based on Angular Calculations—0
Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation—0
Estimating See and Be Seen Performance with an Airborne Visual Acquisition Model—0
Estimation of Looming from LiDAR—0
Distributed Safe Navigation of Multi-Agent Systems using Control Barrier Function-Based Optimal Controllers—0
Chance Constrained Stochastic Optimal Control Based on Sample Statistics With Almost Surely Probabilistic Guarantees—0
Evolutionary Curriculum Training for DRL-Based Navigation Systems—0
A Practical and Online Trajectory Planner for Autonomous Ships' Berthing, Incorporating Speed Control—0
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges—0
A Cooperative Control Framework for CAV Lane Change in a Mixed Traffic Environment—0
Distributed Safe Learning and Planning for Multi-robot Systems—0
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks—0
Distributed Resilience-Aware Control in Multi-Robot Networks—0
Explore-then-Commit Algorithms for Decentralized Two-Sided Matching Markets—0
Chance Constrained Stochastic Optimal Control for Arbitrarily Disturbed LTI Systems Via the One-Sided Vysochanskij-Petunin Inequality—0
Fast-reactive probabilistic motion planning for high-dimensional robots—0
FedCau: A Proactive Stop Policy for Communication and Computation Efficient Federated Learning—0
Federated Transfer Reinforcement Learning for Autonomous Driving—0
Finding Coordinated Paths for Multiple Holonomic Agents in 2-d Polygonal Environment—0
Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios—0
Finite-Time Trajectory Tracking of a Four wheeled Mecanum Mobile Robot—0
Distributed MPC for autonomous ships on inland waterways with collaborative collision avoidance—0
Flatness-based MPC for underactuated surface vessels in confined areas—0
Flies as Ship Captains? Digital Evolution Unravels Selective Pressures to Avoid Collision in Drosophila—0
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning—0
Distributed Coverage Control of Multi-Agent Networks with Guaranteed Collision Avoidance in Cluttered Environments—0
Flying Objects Detection from a Single Moving Camera—0
Following Social Groups: Socially Compliant Autonomous Navigation in Dense Crowds—0
Force-based Algorithm for Motion Planning of Large Agent Teams—0
Distributed Coordination for Multi-Vehicle Systems in the Presence of Misbehaving Vehicles—0
Certified Adversarial Robustness for Deep Reinforcement Learning—0
Distributed Safe Control Design and Probabilistic Safety Verification for Multi-Agent Systems—0
Frenet-Cartesian Model Representations for Automotive Obstacle Avoidance within Nonlinear MPC—0
Fuel-Optimal Collision Avoidance Maneuvers in Long-Term Encounters with Station-Keeping Constraints—0
Distributed Collision-Free Motion Coordination on a Sphere: A Conic Control Barrier Function Approach—0
CAV-AHDV-CAV: Mitigating Traffic Oscillations for CAVs through a Novel Car-Following Structure and Reinforcement Learning—0
Approximate Solutions to a Class of Reachability Games—0
GazeMoDiff: Gaze-guided Diffusion Model for Stochastic Human Motion Prediction—0
Gen-C: Populating Virtual Worlds with Generative Crowds—0
Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning—0
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles—0
Distributed Area Coverage Control with Imprecise Robot Localization—0
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Benchmark Results

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