yuhuang-ca Goto Github PK

360monodepth

Code release for 360monodepth. With our framework we achieve monocular depth estimation for high resolution 360° images based on aligning and blending perspective depth maps.

3d-deepbox

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

3d-detection-with-monocular-rgb-image

3D detection prediction in Autopilot scene with monocular RGB image. Selected Faster RCNN as basemodel and ResNet as backbone with Python.

3d_cnn_tensorflow

KITTI data processing and 3D CNN for Vehicle Detection

3d_lane_synthetic_dataset

This is a synthetic dataset constructed to stimulate the development and evaluation of 3D lane detection methods.

3d_slam_tools

Tools to work along side with LOAM 3D lidar slam and Octomaping

adop

airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

al-mdn

Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)

alphapose

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

anim-nerf

apollo

An open autonomous driving platform

argoverse-api

Official GitHub repository for Argoverse dataset

argoverse_baselinetracker

Baseline tracker code release for the paper Argoverse: 3D Tracking and Forecasting With Rich Maps, CVPR 2019.

autocalib-sensor-extrinsics

2018 GSoC Project with MRPT

autopilot-tensorflow

A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes

autoware.ai

Open-source software for self-driving vehicles

avod

Code for 3D object detection for autonomous driving

avp-slam-sim

A basic implementation(not official code) of AVP-SLAM(IROS 2020) in simulation. https://arxiv.org/abs/2007.01813

awsim

Open source simulator for self-driving vehicles

bevdepth

Official code for BEVDepth.

bevfusion

Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

bidireaction-trajectory-prediction

The code for Bi-directional Trajectory Prediction (BiTraP).

bisenet

Add bisenetv2. My implementation of BiSeNet

brain-inspired-deep-imitation-learning-for-autonomous-driving-systems

Autonomous driving vehicles have drawn a great deal of interests from both academia (e.g. Oxford, MIT) and industry (e.g. Google, Tesla). However, we find that it is very difficult to directly achieve fully autonomous driving (SAE Level 5) due to generalised knowledge. To deal with the problem, deep imitation learning is a promising solution which learns knowledge from the demonstration of human. In this project, we worked on how to use deep imitation learning to achieve vehicle dynamic control (e.g. steering angle, speed). We used a dataset and simulator provided by Udacity (https://github.com/udacity/self-driving-car-sim) and the real-world comma.ai dataset.

brnet

(CVPR 2021) Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

caddn

Categorical Depth Distribution Network for Monocular 3D Object Detection (CVPR 2021 Oral)

caffe

Caffe: a fast open framework for deep learning.

camlasercalibratool

Extrinsic Calibration of a Camera and 2d Laser