Popular GitHub Repositories for Sensor Fusion

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]

Object Detection on Radar sensor and RGB camera images. https://ieeexplore.ieee.org/document/9191046 Full Thesis : RADAR+RGB Fusion for Robust Object Detection in Autonomous Vehicles. Zenodo. https://doi.org/10.5281/zenodo.13738235

Code for 'RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles' (ICIP 2019)

Dockerized ROS2 stack for the WATonomous Autonomous Driving Software Pipeline

Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection

[ICRA2024] Official code of the paper "Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter"

首个基于LiDAR里程计的六自由度样条递归运动估计器

Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR

DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy Prediction

An open source autonomous driving research platform for Active SLAM & Multisensor Data Fusion

StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation

[ICRA 2024] SLCF-Net: Sequential LiDAR-Camera Fusion for Semantic Scene Completion using a 3D Recurrent U-Net

Extended Kalman Filter and Deep Learning to detect vehicles from RGB and LiDAR data (Sensor Fusion and Tracking project of the Udacity Self-Driving Car Engineer Nanodegree Program)

Implementation code for: End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agent, IEEE Trans. Intelligent Vehicles, 2022.

Contains my solutions for various Nanodegree Programs (Robotics, Artificial Intelligence, Machine Learning, Deep Reinforcement Learning, Computer Vision, Sensor Fusion, Flying Cars).

A collection of ego-motion estimation projects for AD/ADAS functions

LiDAR-Camera Fusion for 3D Object Detection in Autonomous Driving Systems

Sparkie, Autonomous inspections for process industry by a quadruped robot with use of neural networks