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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/anuragkulkarni/lidar-based_object_detection_with_real-time_voice_specifications

공식 코드

LiDAR-based Object Detection with Real-time Voice Specifications

https://github.com/apple2373/min-seg-road

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Minimizing Supervision for Free-space Segmentation

https://github.com/aqeelanwar/PEDRA

공식 코드

Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes using Transfer Learning

https://github.com/arplaboratory/STHN

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STHN: Deep Homography Estimation for UAV Thermal Geo-localization with Satellite Imagery

https://github.com/arplaboratory/vg_ssl

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VG-SSL: Benchmarking Self-supervised Representation Learning Approaches for Visual Geo-localization

https://github.com/autumn999999/lusnar-dataset

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LuSNAR:A Lunar Segmentation, Navigation and Reconstruction Dataset based on Muti-sensor for Autonomous Exploration

https://github.com/awesomericky/complex-env-navigation

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Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation

https://github.com/baimamboukar/hazardous-asteroid-classification

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Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural Networks

https://github.com/bipin-saha/bnvd

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Bangladeshi Native Vehicle Detection in Wild

https://github.com/blackPython/mipae

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Mutual Information Based Method for Unsupervised Disentanglement of Video Representation

https://github.com/brunapearson/autoUAV-mtrl

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Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments

https://github.com/brunapearson/mtrl-auto-uav

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Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments

https://github.com/c0pep0d/rlfl0w

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A critical assessment of reinforcement learning methods for microswimmer navigation in complex flows

https://github.com/camera-culture/nlos-aided-autonomous-navigation

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Enhancing Autonomous Navigation by Imaging Hidden Objects using Single-Photon LiDAR

https://github.com/chensy7/efficient-vit

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Compressing Vision Transformers for Low-Resource Visual Learning

https://github.com/chenyirui/fastc

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FASTC: A Fast Attentional Framework for Semantic Traversability Classification Using Point Cloud

https://github.com/code-Assasin/A_Little_fog_for_a_Large_Turn

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A Little Fog for a Large Turn

https://github.com/cogsys-tuebingen/CBMOT

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Score refinement for confidence-based 3D multi-object tracking

https://github.com/columbia-icsl/tdbench

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TDBench: Benchmarking Vision-Language Models in Understanding Top-Down Images

https://github.com/core-robotics-lab/opponent-modeling

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Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games

https://github.com/coslab-kr/tinyseg

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TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded Systems

https://github.com/csimo005/summit

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SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal Targets

https://github.com/ctu-mrs/flight_forge

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FlightForge: Advancing UAV Research with Procedural Generation of High-Fidelity Simulation and Integrated Autonomy

https://github.com/deepmind/streetlearn

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Learning to Navigate in Cities Without a Map

https://github.com/dslrproject/dslr

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DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder

https://github.com/ehsannowroozi/rdfs_su

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Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization

https://github.com/eleurent/highway-env

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Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios

https://github.com/elharirymatteo/rans

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DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories

https://github.com/epfl-lasa/crowdbot-evaluation-tools

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Pedestrian-Robot Interactions on Autonomous Crowd Navigation: Reactive Control Methods and Evaluation Metrics

https://github.com/ergoncugler/q-learning

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From Two-Dimensional to Three-Dimensional Environment with Q-Learning: Modeling Autonomous Navigation with Reinforcement Learning and no Libraries

https://github.com/ethz-asl/tsdf-plusplus

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TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and Reconstruction

https://github.com/facebookresearch/habitat-api

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DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

https://github.com/fishmarch/slam_map_compression

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Efficient Map Sparsification Based on 2D and 3D Discretized Grids

https://github.com/fudan-zvg/openocc

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OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy Representation

https://github.com/gkahn13/LaND

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LaND: Learning to Navigate from Disengagements

https://github.com/gnns4hri/sngnnv2

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A Graph Neural Network to Model Disruption in Human-Aware Robot Navigation

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