Papers with Code 아카이브
Autonomous Navigation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/lojzezust/WaSR
A water-obstacle separation and refinement network for unmanned surface vehicles
https://github.com/mangalutsav/Multi-Stage-LSTM-for-Action-Anticipation
https://github.com/miaoruonan/MACA_test
Socially Aware Motion Planning with Deep Reinforcement Learning
https://github.com/mit-acl/gym-collision-avoidance
Socially Aware Motion Planning with Deep Reinforcement Learning
https://github.com/opendilab/DI-engine
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/prajjwal1/autonomous-object-detection
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments
https://github.com/pulp-platform/Himax_Dataset
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
https://github.com/qiyan98/social-nce-stgcnn
Social NCE: Contrastive Learning of Socially-aware Motion Representations
https://github.com/ray-project/ray/tree/master/rllib
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/robin-karlsson0/dslp
Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images
https://github.com/roboflow/rf100-vl
https://github.com/sair-lab/ni-slam
Correlation Flow: Robust Optical Flow Using Kernel Cross-Correlators
https://github.com/sasha-kap/CV-to-Maps
Automatic Discovery and Geotagging of Objects from Street View Imagery
https://github.com/segev-shlomov/ST-WebAgentBench
ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents
https://github.com/sentient-engineering/agent-q
Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems
https://github.com/t-thanh/wasr_network
A water-obstacle separation and refinement network for unmanned surface vehicles
https://github.com/thaipduong/sbkm
Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping
https://github.com/tosshero/3d_perception
Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object Dataset
https://github.com/uditsharma29/flynet-cann
A Hybrid Compact Neural Architecture for Visual Place Recognition
https://github.com/umich-curly/bki_ros
https://github.com/unmannedlab/point_labeler
https://github.com/vita-epfl/s-attack
Are socially-aware trajectory prediction models really socially-aware?
https://github.com/vita-epfl/semdisc
Are socially-aware trajectory prediction models really socially-aware?
https://github.com/vita-epfl/social-nce-crowdnav
Social NCE: Contrastive Learning of Socially-aware Motion Representations
https://github.com/xiexiexiaoxiexie/Udacity-self-driving-car-engineer-P7-Highway-Driving
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
https://github.com/yangysc/resinet
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/zhanwei-z/g2ltraj
It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.