https://github.com/gogojjh/cobra
공식 코드Real-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Real-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments
Deep Reinforcement Learning with Enhanced PPO for Safe Mobile Robot Navigation
Intention-Aware Navigation in Crowds with Extended-Space POMDP Planning
Self-Supervised Drivable Area and Road Anomaly Segmentation using RGB-D Data for Robotic Wheelchairs
GP-guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments
Multi-Session Visual SLAM for Illumination Invariant Re-Localization in Indoor Environments
AlphaMaze: Enhancing Large Language Models' Spatial Intelligence via GRPO
IPA-NeRF: Illusory Poisoning Attack Against Neural Radiance Fields
MARVIS: Motion & Geometry Aware Real and Virtual Image Segmentation
Deep learning-based Crop Row Detection for Infield Navigation of Agri-Robots
PRISM-TopoMap: Online Topological Mapping with Place Recognition and Scan Matching
Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
Co-SemDepth: Fast Joint Semantic Segmentation and Depth Estimation on Aerial Images
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning
Real-time Vision-based Navigation for a Robot in an Indoor Environment
DOTIE -- Detecting Objects through Temporal Isolation of Events using a Spiking Architecture
ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environments
Towards real-time unsupervised monocular depth estimation on CPU
Benchmarking Deep Reinforcement Learning for Navigation in Denied Sensor Environments
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.