RobuRishabh / LiDAR-point-cloud-based-3D-object-detectionLinks
The project’s main goal is to investigate real-time object detection and tracking of pedestrians or bicyclists using a Velodyne LiDAR Sensor. Various point-cloud-based algorithms are implemented using the Open3d python package. The resulting 3D point cloud can then be processed to detect objects in the surrounding environment.
☆35Updated 2 years ago
Alternatives and similar repositories for LiDAR-point-cloud-based-3D-object-detection
Users that are interested in LiDAR-point-cloud-based-3D-object-detection are comparing it to the libraries listed below
Sorting:
- OORD: The Oxford Offroad Radar Dataset☆22Updated last year
- This repo is a collection of codes developed through my Udacity courses☆18Updated 5 months ago
- [DICTA 2020] DATMO algorithm I developed during my Summer Internship @ University of Calgary☆25Updated 2 years ago
- [ROS package] Project a 2D detection to 3D within an RGB-D camera☆22Updated 2 years ago
- Project: Generating overhead birds-eye-view occupancy grid map with semantic information from lidar and camera data.☆10Updated last year
- Using the KITTI dataset, we employed Open3D to visualize, downsample, segment with RANSAC, cluster via DBSCAN, create 3D bounding boxes, …☆60Updated last year
- DepthStream Accelerator: A TensorRT-optimized monocular depth estimation tool with ROS2 integration for C++. It offers high-speed, accura…☆18Updated 2 months ago
- This repo uses YOLOv5 for human detection in lidar scan data. It includes code for preprocessing the data, running YOLOv5, and evaluating…☆10Updated 2 years ago
- Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing☆86Updated last year
- (ROS, C++) YOLOv9 detection using TensorRT, now supporting TensorRT 10☆45Updated last year
- LiDAR processing ROS2. Segmentation: "Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process". Clustering: "…☆28Updated 10 months ago
- HD ground mapping by accumulation of scan data☆71Updated 4 years ago
- [ICRA2024] Official code of the paper "Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi…☆67Updated last year
- ASCC2022 - TROT-Q: TRaversability and Obstacle aware Target tracking system for Quadruped robots☆31Updated last year
- We utilize sensors, such as camera and lidar, in order to acquire information of our environment. Fusion of data from sensors allows you…☆14Updated 7 months ago
- ☆52Updated last year
- DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments☆56Updated 2 years ago
- Husky-LIO-SAM☆12Updated 2 years ago
- Lidar Obstacle Detection project☆17Updated 5 years ago
- This is a point cloud editor which is very useful to delete/patch/save point cloud for traversibility map.☆35Updated 3 years ago
- This is a ros package for converting coordinates between LLA (latitude, longitude and altitude coordinate system) and UTM coordinate syst…☆20Updated 2 years ago
- LiLo: Lite 3D-Lidar Odometry☆16Updated 3 years ago
- ☆26Updated 7 months ago
- Fusion of LiDAR and depth camera data with deep learning for object detection and classification☆37Updated 3 years ago
- HeLiMOS: Heterogeneous LiDAR Dataset for Moving Object Segmentation @ IROS'2024☆76Updated 4 months ago
- Deployment of 3D-Detection and Tracking pipeline in simulation based on rosbags and real-time.☆13Updated last year
- ROS package for dividing point cloud into "dynamic" and "static"☆41Updated 10 months ago
- Semantic DSP Map in paper "Particle-based Instance-aware Semantic Occupancy Mapping in Dynamic Environments"☆67Updated 3 months ago
- Rotating FMCW Radar Simulation in Gazebo☆16Updated last year
- [RA-L 2024] HE-Nav: A High-Performance and Efficient Navigation System for Aerial-Ground Robots in Cluttered Environments☆26Updated 4 months ago