Papers with Code 아카이브
Autonomous Navigation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 0
- 보존된 평가 기록
- 0
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/Baldins/Learning_UAV_Pose_Estimation
Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data
https://github.com/Bhaney44/MIT_DeepTraffic
https://github.com/Daffan/ros_jackal
Benchmarking Reinforcement Learning Techniques for Autonomous Navigation
https://github.com/FilippoAleotti/mobilePydnet
Towards real-time unsupervised monocular depth estimation on CPU
https://github.com/GT-RIPL/robo-vln
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/InterDigitalInc/CompressAI-Vision/blob/main/compressai_vision/codecs/sic_sfu2022.py
https://github.com/MapItAnywhere/MapItAnywhere
Map It Anywhere (MIA): Empowering Bird's Eye View Mapping using Large-scale Public Data
https://github.com/NeekhilD/Learning-Competition
https://github.com/PaddlePaddle/Paddle3D
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
https://github.com/Pomu0708/PyDnet
Towards real-time unsupervised monocular depth estimation on CPU
https://github.com/SullyChen/Autopilot-TensorFlow
https://github.com/TENNLab-UTK/dbscan
DOTIE -- Detecting Objects through Temporal Isolation of Events using a Spiking Architecture
https://github.com/TaoistSu/loam_livox_TaoistSu
https://github.com/YuejiangLIU/social-nce-trajectron-plus-plus
Social NCE: Contrastive Learning of Socially-aware Motion Representations
https://github.com/allenai/robothor-challenge
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/asarav/MIT-Deep-Traffic-Solution
https://github.com/ashtawy/deeptraffic
https://github.com/ayusefi/Localization-Papers
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
https://github.com/bborja/wasr_network
A water-obstacle separation and refinement network for unmanned surface vehicles
https://github.com/destinyls/SMOKE
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
https://github.com/dronefreak/dji-tello-collision-avoidance-pydnet
Towards real-time unsupervised monocular depth estimation on CPU
https://github.com/facebookresearch/habitat-api/tree/master/habitat_baselines/rl/ddppo
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/gjp1203/LIV360SV
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments
https://github.com/gnns4hri/sngnn1dv2
A Graph Neural Network to Model Disruption in Human-Aware Robot Navigation
https://github.com/gnns4hri/socnavgym
A Graph Neural Network to Model Disruption in Human-Aware Robot Navigation
https://github.com/google-deepmind/scalable_agent
https://github.com/harshayugirase/human-path-prediction
It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction
https://github.com/harvard-edge/source-seeking
https://github.com/heiner/scalable_agent
https://github.com/iis-esslingen/nerf-3dgs-benchmark
https://github.com/inhwanbae/npsn
It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction
https://github.com/jacobkrantz/VLN-CE
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/jmfacil/single-view-place-recognition
https://github.com/joanfmendo/prop-dronet
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
https://github.com/leoandeol/cods
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.