[ECCV 2026 Best Paper Award Candidate] LingBot-Map: Geometric Context Transformer for Streaming 3D Reconstruction
Repository Index
47,133 repositories indexed
1–24 of 33 · Most stars
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
- point-cloud
- 3d-detection
- autonomous-driving
- pv-rcnn
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
Advanced implementation of LOAM
- loam
- lidar
- slam
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
- 3d-object-detection
- lidar-point-cloud
- bevmap
- center
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
- sensor-fusion
- slam
- mapping
- icra2019
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
- rangenet-lib
- suma
- lidar
- slam
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
- point-cloud
- partition
- semantic-segmentation
- pytorch
[ICRA] Crowd-aware Robot Navigation
- reinforcement-learning
- crowd-navigation
- collision-avoidance
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
- 3d-lidar
- loop-closure-detection
- slam
- lidar
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
- tensorflow
- ros
- deep-reinforcement-learning
- collision-avoidance
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
Music discovery tool that provides recommendations based on selected Lidarr artists, using Spotify or LastFM.
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
- lidar-point-cloud
- autonomous-vehicles
- deep-neural-networks
[ICRA2021] A low-cost SLAM system based on camera and Livox lidar.
A production-grade, high-efficiency Agentic RL framework for frontier LLMs with validated recipes.
Fast Static Symbol Table (FSST): efficient random-access string compression
Intensity-based_Lidar_Camera_Calibration
- calibration
- lidar
- panoramic
- camera
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
- semantic-segmentation
- lidar
- semantickitti
- 3d-lidar-data
Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
- road-segmentation
- lidar
- point-cloud
- ros