https://github.com/mchancan/citylearn
공식 코드MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation
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/mchancan/deepseqslam
공식 코드DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
https://github.com/mehrab-abrar/Sim2Real
공식 코드An Open-source Sim2Real Approach for Sensor-independent Robot Navigation in a Grid
https://github.com/michealcarac/VSLAM-Mapping
공식 코드Autonomous Navigation System from Simultaneous Localization and Mapping
https://github.com/microsoft/Magma
공식 코드https://github.com/muhayyuddin/visual-servoing
공식 코드Vision-Based Autonomous Navigation for Unmanned Surface Vessel in Extreme Marine Conditions
https://github.com/my-name-is-D/high_level_nav_planning
공식 코드https://github.com/naoe-5thlab/mmg-1p1r-simulator
공식 코드Perspective on the Marine Simulator for Autonomous Vessel Development
https://github.com/neu-vi/odtformer
공식 코드ODTFormer: Efficient Obstacle Detection and Tracking with Stereo Cameras Based on Transformer
https://github.com/noahzn/ddnd
공식 코드Channel-Aware Distillation Transformer for Depth Estimation on Nano Drones
https://github.com/norlab-ulaval/BorealTC
공식 코드Proprioception Is All You Need: Terrain Classification for Boreal Forests
https://github.com/nubot-nudt/elc-ois
공식 코드ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR Data
https://github.com/nubot-nudt/insmos
공식 코드InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data
https://github.com/nubot-nudt/segnet4d
공식 코드SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud
https://github.com/nubot-nudt/ugna-vpr
공식 코드https://github.com/oravus/DeltaDescriptors
공식 코드Delta Descriptors: Change-Based Place Representation for Robust Visual Localization
https://github.com/oravus/seqNet
공식 코드SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition
https://github.com/oscarhuangwind/drl-transformer-simtoreal-navigation
공식 코드Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation
https://github.com/pastifra/TiROD_code
공식 코드Tiny Robotics Dataset and Benchmark for Continual Object Detection
https://github.com/patchadversarialattacks/patchadversarialattacks
공식 코드Physical Passive Patch Adversarial Attacks on Visual Odometry Systems
https://github.com/pic4ser/pic4rl_gym
공식 코드https://github.com/poloclub/3D-Gaussian-Splat-Attack
공식 코드https://github.com/pulp-platform/pulp-dronet
공식 코드A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
https://github.com/saadejazz/mpc-trust-cbf
공식 코드https://github.com/saadejazz/smato
공식 코드https://github.com/saadejazz/trusty
공식 코드https://github.com/saba99/classifying-objects-3d-point-clouds
공식 코드Classifying Objects in 3D Point Clouds Using Recurrent Neural Network: A GRU LSTM Hybrid Approach
https://github.com/sander3101/Fast-LiDAR
공식 코드https://github.com/shashankskagnihotri/benchmarking_robustness
공식 코드DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions
https://github.com/shaswata09/offroad-path-planning
공식 코드https://github.com/sherrychen1120/MIDAS
공식 코드https://github.com/shivamkumarpanda/agronav
공식 코드https://github.com/sinatayebati/radial_mae
공식 코드https://github.com/sof-danny/spannotation
공식 코드https://github.com/structurescomp/agronav
공식 코드https://github.com/suhaisheng/robosense
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.