bennyustc,github

pinto_model_zoo

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

pointpainting

Real Time Semantic Segmentation for both LIDAR & Camera using BiseNetv2 & PointPainting Fusion in Pytorch

pointpainting-1

Coloring/Costing lidar points based on semantic-segmenation

pointpillars-ros

A 3D detection Pointpillars ROS deployment on Nvidia Jetson TX1/Xavier

radar_perception

Processing of radar scan data.

ros2_learning

A useful collection of CPP and PYTHON examples to learn ROS2 from zero

self-driving-car

Udacity Self-Driving Car Engineer Nanodegree projects.

sensor-fusion

Kalman filter, sensor fusion (Self-Driving Car Nanodegree, Sensor Fusion Nanodegree)

sensor_fusion

ROS下的一个激光雷达和毫米波雷达的数据融合算法

sensor_fusion-1

Personal work on sensor fusion for self-driving cars. Including Lidar, Camera, Radar, and Fusion techniques.

sensorfusion-ukf

激光雷达和毫米波雷达数据融合基于无迹卡尔曼滤波算法c++工程项目

sensorscalibration

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

sfa3d-pointpainting

A Panoramic Awareness Network inspired by PointPainting and SFA3D

simple_bev

A Simple Baseline for BEV Perception

simpledbscan

A one header only DBSCAN (N-dimensions support) implementation

simpleocv

Make a minimal OpenCV runable on any where, WIP

sst

Codes for “Fully Sparse 3D Object Detection” & “Embracing Single Stride 3D Object Detector with Sparse Transformer”

stsu

Official code for "Structured Bird’s-Eye-View Traffic Scene Understanding from Onboard Images" (ICCV 2021)

surround-view-system-noted

BEV surround-view AVM 360degree

sustechpoints

3D Point Cloud Annotation Platform for Autonomous Driving

torch-model-compression

针对pytorch模型的自动化模型结构分析和修改工具集，包含自动分析模型结构的模型压缩算法库

torchdrive

torch primitives for BEV style perception models for self driving tasks

tpvformer

An academic alternative to Tesla's occupancy network for autonomous driving.

tusimple-benchmark

Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3

velo2cam_calibration

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. ROS Package.

vision-centric-bev-perception

Vision-Centric BEV Perception: A Survey

yaw-angle-estimation-network

In this work, we proposed a framework for accurately predicting the object's pose based on the arrangement of parts. We apply this framework to estimate the yaw angle of vehicles, and we call it YAEN. YAEN can estimate the yaw angle of vehicles using a monocular camera.

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