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Collision Avoidance

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/essoz/distributed-intersection-traffic-coordination-with-lease

공식 코드

Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System through Distributed Database and Multimodal Perception: Demonstrated in Crossroads

https://github.com/fordcvresearch/fir-trajectory-prediction

공식 코드

FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving

https://github.com/gkahn13/GtS

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Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight

https://github.com/guthriejd1/mink-obca

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Closed-Form Minkowski Sum Approximations for Efficient Optimization-Based Collision Avoidance

https://github.com/guykatzz/ReluplexCav2017

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Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks

https://github.com/habicrowd/HabiCrowd

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HabiCrowd: A High Performance Simulator for Crowd-Aware Visual Navigation

https://github.com/hanlinniu/turtlebot3_ddpg_collision_avoidance

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Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player

https://github.com/hanruihua/NeuPAN

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NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning

https://github.com/haomo-ai/motionseg3d

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Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation

https://github.com/hbayerlein/uav_data_harvesting

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Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning

https://github.com/ihabmohamed/gp-mppi

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GP-guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments

https://github.com/intrinsic-ai/collision-avoidance-metric

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Collision Avoidance Metric for 3D Camera Evaluation

https://github.com/jianzhou1212/interaction-safety-aware-motion-planning

공식 코드

Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainty Predictions

https://github.com/john-tornblom/VoTE-scaling-experiments

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Scaling up Memory-Efficient Formal Verification Tools for Tree Ensembles

https://github.com/kaland313/Duckietown-RL

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Sim-to-real reinforcement learning applied to end-to-end vehicle control

https://github.com/liuzhenchang/uav_cooperative_search

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Heterogeneous Unmanned Aerial Vehicles Cooperative Search Approach for Complex Environments

https://github.com/lojzezust/slr

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Learning with Weak Annotations for Robust Maritime Obstacle Detection

https://github.com/ludvigwiden/daeplanner

공식 코드

Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles

https://github.com/maftej/iisnerf

공식 코드

Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use cases

https://github.com/mahaitongdae/safe_exp_env

공식 코드

Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function

https://github.com/marmotlab/SIGMA

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SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding

https://github.com/matthewwicker/ProbabilisticSafetyforBNNs

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Probabilistic Safety for Bayesian Neural Networks

https://github.com/matthewwicker/adversarialrobustnesscertificationforbnns

공식 코드

Adversarial Robustness Certification for Bayesian Neural Networks

https://github.com/mcubuktepe/pMDPsynthesis

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Convex Optimization for Parameter Synthesis in MDPs

https://github.com/mfe7/cadrl_ros

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Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

https://github.com/mit-acl/gym-collision-avoidance

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Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning

https://github.com/mit-acl/nn_robustness_analysis

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Backward Reachability Analysis for Neural Feedback Loops

https://github.com/neu-autonomy/rebar

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Collision Avoidance Verification of Multiagent Systems with Learned Policies

https://github.com/nsidn98/informarl

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Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

https://github.com/pbonazzi/eva

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Towards Low-Latency Event-based Obstacle Avoidance on a FPGA-Drone

https://github.com/prbonn/point-cloud-prediction

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Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

https://github.com/progirep/planet

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Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks

https://github.com/pulp-platform/pulp-dronet

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Distilling Tiny and Ultra-fast Deep Neural Networks for Autonomous Navigation on Nano-UAVs

https://github.com/qwerty35/swarm_simulator

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Efficient Multi-Agent Trajectory Planning with Feasibility Guarantee using Relative Bernstein Polynomial

https://github.com/rose-stl-lab/pecco

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Probabilistic Symmetry for Multi-Agent Dynamics

https://github.com/rui-qian/SoTA-3D-Object-Detection

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3D Object Detection for Autonomous Driving: A Survey

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