PeterJaq

Awesome-Autonomous-Driving

adas-arxiv-daily

lidar_perception

optical_film_toolbox

# Optical thin film design tools

Clocs_spconv2

lidar_perception_msgs

awesome-autonomous-vehicles

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

optical-film-maker

# An optical thin film design tool box

peterjaq.github.io

yolo_parkingslot_detection

A-loam

Awesome-BEV-Perception-Multi-Cameras

Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird-Eye-View, such as DETR3D, BEVDet, BEVFormer

awesome-lane-detection

A paper list of lane detection.

CUDA-PointPillars

A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.

dash_clip

deep_features_of_optical_constant

docs-l10n

Community translations of TensorFlow documentation

FAST_LIO

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

happy-dev-env

happy dev environment

hubmap_mmsegmentation

LearnTRT

leetcoode_daily

personal training for code skiils in leetcode.

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

PersFormer_3DLane

[ECCV2022 Oral] Perspective Transformer on 3D Lane Detection

PeterJaq

pypcd

PCL pcd fileformat i/o in Python

SpectrumCalibration

tensorRT_Pro_3D

C++ library based on tensorrt integration

BEVFormer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

OccNet-Course

国内首个占据栅格网络全栈课程《从BEV到Occupancy Network，算法原理与工程实践》，包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 课程主页：http://111.229.117.200:7001/