qinhuaping's repositories
AutowareArchitectureProposal.proj
This is the source code of the feasibility study for Autoware architecture proposal.
awesome-lane-detection
A paper list of lane detection.
BEVDet
Official code base of the BEVDet series .
CameraCalibration
Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.
chineseocr
yolo3+ocr
ColossalAI
Making large AI models cheaper, faster and more accessible
Cylinder3D
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
DualCross
DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception
fast_gicp
A collection of GICP-based fast point cloud registration algorithms
FAST_LIO
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
faster-lio
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
HybridNets
HybridNets: End-to-End Perception Network
InferenceHelper
Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, ncnn, MNN, SNPE, Arm NN, NNAbla
IROS2021-SLAM-paper-list
IROS 2021 SLAM paper list
LIO-Livox
A Robust LiDAR-Inertial Odometry for Livox LiDAR
LVI-SAM
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
MULLS
MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square [ICRA '21]
multical
Multi-camera calibration using one or more calibration patterns
ORB_SLAM3
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
self-driving-car
Udacity Self-Driving Car Engineer Nanodegree projects.
self-driving-ish_computer_vision_system
This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT
stock
stock，股票系统。使用python进行开发。
unet-tensorrt
this is a tensorrt version unet, inspired by tensorrtx
VIMER
视觉预训练基础模型仓库
yolov4-deepsort
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.