Stars
[NeurIPS 2025 Spotlight] The official benchmark codebase for the paper "V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception"
Radar-Infrared Depth Estimation for Robust Sensing
⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载，你的 AI 舆情监控助手与热点筛选工具！聚合多平台热点 + RSS 订阅，支持关键词精准筛选。AI 翻译 + AI 分析简报直推手机，也支持接入 MCP 架构，赋能 AI 自然语言对…
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
Gaussian Process-based Traversability Analysis for Terrain Mapless Navigation (ICRA 2024)
Real-time Spatial-temporal Traversability Assessment via Feature-based Sparse Gaussian Process
A Real-Time Reachability-based Motion Planning Algorithm for Risk-Aware Motion Planning in Uncertain Environments.
Elevation Mapping on GPU.
Semantic Segmentation of Images and Point Clouds for Traversability Estimation
🥢像老乡鸡🐔那样做饭。主要部分于2024年完工，非老乡鸡官方仓库。文字来自《老乡鸡菜品溯源报告》，并做归纳、编辑与整理。CookLikeHOC.
WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness
😎 Awesome lists about all kinds of interesting topics
海投助手是一款为求职者打造的浏览器脚本插件，可以提升求职效率。初期聚焦于 Boss直聘 平台，通过自动化简历投递、AI智能回复HR消息等功能，帮助用户减少大量重复性操作，显著提高投递效率。
Release repo for our SLAM Handbook
Official implementation the paper "Deep Depth Estimation from Thermal Image: Dataset, Benchmark, and Anaylsis"
Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach (IEEE RA-L '24)
Codes for RoadBEV: road surface reconstruction in Bird's Eye View
Semantic ELevation (SEL) map is a semantic Bayesian inferencing framework for real-time elevation mapping and terrain property estimation from RGB-D images.
[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer
This is the official GitHub page of the Multi-Spectral Stereo (MS2) dataset described in CVPR 2023 paper.
[Docker provided] How to build, install and run open-source exploration algorithms
FAEL: Fast Autonomous Exploration for Large-Scale Environments with a Mobile Robot
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06