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「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…
Attention-based Deep Reinforcement Learning-based Autonomous Robot Exploration Planner in ROS1/ROS2
FAEL: Fast Autonomous Exploration for Large-Scale Environments with a Mobile Robot
Self-Learning Exploration and Mapping for Mobile Robots via Deep Reinforcement Learning
[RAL 2024] Deep Reinforcement Learning-based Large-scale Robot Exploration - - Public code and model
Open-source code for Paper: Real-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments
Active Semantic Mapping and Pose Graph Spectral Analysis for Robot Exploration
HongbiaoZ / autonomous_exploration_development_environment
Forked from jizhang-cmu/ground_based_autonomy_basicLeveraging system development and robot deployment for ground-based autonomous navigation and exploration.
ROS2 plugin for visual traversability
This repository will be posting analytic continual learning series, including Analytic Class-Incremental Learning (ACIL), Gaussian Kernel Embedded Analytic Learning (GKEAL), Dual-Stream Analytic Le…
A toolkit for Waymo Open Dataset <-> KITTI conversions
Convert KITTI dataset to ROS bag file the easy way!
[TMECH 2023] Continuous-Time Fixed-Lag Smoothing for LiDAR-Inertial-Camera SLAM
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Tutorial for using Kitti dataset easily
PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
ROS package to publish the KITTI-360 dataset.
DiTer: Novel Legged Robot Datasets in Diverse Terrain (accepted in IEEE Sensors Letters'24)
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Updated Oct 10, 2024
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain