https://github.com/Agricultural-Robotics-Bonn/visual-multi-crop-row-navigation
공식 코드Towards Autonomous Crop-Agnostic Visual Navigation in Arable Fields
Papers with Code 아카이브
Autonomous Navigation
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Autonomous navigation is the task of autonomously navigating a vehicle or robot to or around a location without human guidance.
<span style="color:grey; opacity: 0.6">( Image credit: Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/DavidWanke/PyAutoDriveRL
공식 코드https://github.com/EmergenceAI/Agent-E
공식 코드Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems
https://github.com/GuanRunwei/Achelous
공식 코드https://github.com/GuanRunwei/Efficient-VRNet
공식 코드https://github.com/HarshayuGirase/PECNet
공식 코드It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction
https://github.com/HyHuang1995/gmmloc
공식 코드https://github.com/ICONgroupCWC/Real-Time_VR_RemoteControl
공식 코드Real-Time Remote Control via VR over Limited Wireless Connectivity
https://github.com/JosephGesnouin/Asymmetrical-Bi-RNNs-to-encode-pedestrian-trajectories
공식 코드https://github.com/KangchengLiu/RM3D
공식 코드A Data-efficient Framework for Robotics Large-scale LiDAR Scene Parsing
https://github.com/KumarRobotics/kr_autonomous_flight
공식 코드Large-scale Autonomous Flight with Real-time Semantic SLAM under Dense Forest Canopy
https://github.com/KumarRobotics/sloam
공식 코드Large-scale Autonomous Flight with Real-time Semantic SLAM under Dense Forest Canopy
https://github.com/MrD1360/deep_segmentation_vineyards_navigation
공식 코드Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard Rows
https://github.com/MubarizZaffar/VPR-Bench
공식 코드https://github.com/NVlabs/Bi3D
공식 코드https://github.com/NVlabs/BiTTC
공식 코드https://github.com/Peterbotliang/NEBPMOT
공식 코드https://github.com/QuintonQu/gaussian-splatting-with-depth
공식 코드https://github.com/Shuijing725/VAE_trait_inference
공식 코드Learning to Navigate Intersections with Unsupervised Driver Trait Inference
https://github.com/SilinMeng0510/llm-astar
공식 코드LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning
https://github.com/SlamMate/vSLAM-on-FrodoBots-2K
공식 코드https://github.com/StanfordVL/JRMOT_ROS
공식 코드JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments
https://github.com/TUM-CPS-HN/SafeLLMRA
공식 코드Safe LLM-Controlled Robots with Formal Guarantees via Reachability Analysis
https://github.com/UVA-BezzoRobotics-AMRLab/cbf_tracking
공식 코드https://github.com/VRI-UFPR/BeyondSight
공식 코드https://github.com/WreckItTim/rl_drone
공식 코드NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation
https://github.com/ZJU-FAST-Lab/OPNet
공식 코드Learning-based 3D Occupancy Prediction for Autonomous Navigation in Occluded Environments
https://github.com/aalto-intelligent-robotics/uncertain_turtlebot_navigation
공식 코드https://github.com/aerialroboticsgroup/forest-vo
공식 코드ForestVO: Enhancing Visual Odometry in Forest Environments through ForestGlue
https://github.com/agi-inc/agisdk
공식 코드REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites
https://github.com/agi-inc/real
공식 코드REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites
https://github.com/airou-lab/SynthCRAV
공식 코드Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets
https://github.com/ajhamdi/SADA
공식 코드SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications
https://github.com/amir-ni/trajectory-prediction
공식 코드TrajLearn: Trajectory Prediction Learning using Deep Generative Models
https://github.com/anilozdemir/echovpr
공식 코드https://github.com/antonioo-c/geodrive
공식 코드GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.