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3d-deepbox

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

3dod_thesis

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

adas

Surround View System for Detecting close Obstacles

adaslane

Lane detected for ADAS

aerial_mapper

Real-time Dense Point Cloud, Digital Surface Map (DSM) and (Ortho-)Mosaic Generation for UAVs

algo

数据结构和算法必知必会的50个代码实现

algorithm

:art:冒泡排序；直接插入排序；希尔排序；快速排序；堆排序；归并排序；基数排序

anms-codes

Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution

apollo-seg

The lidar obstacle segmention part of Apollo perception module.

approxmvbb

Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

autolabelimg

A self automatically labeling tool

autoware

Open-source software for urban self-driving mobility

autoware_perception

avm_dataset

Public Dataset of AVM (Around View Monitoring) System for Auto Parking

avod

Code for 3D object detection for autonomous driving

awesome-algorithm

结构化算法刷题训练指南 (希望大家支持一下！)

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-dynamic-slam

Awesome Dynamic SLAM

awesome-gis

Awesome GIS is for collecting the GIS related sources, including cartographer tools, geoanalysis tools, developing tools, data, conference & communities, news, MOOC's course, some amazing map site, etc.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-slam

A curated list of awesome SLAM tutorials, projects and communities.

awesome_3dreconstruction_list

A curated list of papers & resources linked to 3D reconstruction from images.

aws-iot-greengrass-accelerators

Deployable solutions for AWS IoT Greengrass for common design patterns, or to address specific use-cases.

bft

Belief functions theory (Dempster-Shafer theory) implementation in C++

bmw-yolov3-training-automation

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. Training with YOLOv3 has never been so easy.

boxcars

Source code related to BoxCars publication

caffe

Caffe: a fast open framework for deep learning.

caffe-tensorflow

Caffe models in TensorFlow

caffe-vehicle-detection