fengkai11's repositories

Vector-space-detection

Implement of tesla AI day detect algorithm

motion-planning-and-decision-making-for-autonomous-vehicles

Implemented two of the main components of a traditional hierarchical planner: the behavior planner and the motion planner. Both work in unison to be able to avoid static objects parked on the side of the road, avoid crashing with these vehicles by executing either a “nudge” or a “lane change” maneuver, handle any type of intersection, and track the centerline on the traveling lane.

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Autonomous-Driving

Contains self driving stuff

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CenterNet2

Two-stage CenterNet

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CenterNet3D-PyTorch

Unofficial PyTorch implementation of the paper: "CenterNet3D: An Anchor free Object Detector for Autonomous Driving"

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cross-view

[CVPR'21] Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-view Transformation

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detr

End-to-End Object Detection with Transformers

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Dig-into-Apollo

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

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dummpy_caffe

rewrite or copy caffe

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free

翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子

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handwriting_faster-rcnn

This is my homework of handwriting faster-rcnn

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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libOpenDRIVE

Small, lightweight C++ library for handling OpenDRIVE files

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LSTR

This is an official repository of End-to-end Lane Shape Prediction with Transformers.

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modeld

Self driving car lane and path detection

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mono_velocity

A PyTorch implementation of the ICRA 2020 paper 'End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS with a Monocular Camera'.

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MotionPlanning

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

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NIM

Normal Inference Module in PyTorch, IROS 2020

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open-adas

An open source advanced driver assistance system (ADAS) that uses Jetson Nano as the hardware. Features: Traffic sign detection, Forward collision warning, Lane departure warning.

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openpilot-supercombo-model

Usage of comma.ai trained supercombo onnx model.

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pytorch_simple_CenterNet_45

A simple pytorch implementation of CenterNet (Objects as Points)

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qd-3dt

Official implementation of Monocular Quasi-Dense 3D Object Tracking

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SAPD

SAPD (Soft Anchor-Point Object Detection) implementation in Keras and Tensorflow

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SemiGlobalMatching

SGM,立体匹配最经典应用最广泛算法,4000+引用,兼顾效率和效果。完整实现,代码规范,注释清晰,博客教学,欢迎star!

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simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

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State-Estimation-and-Localization-for-Autonomous-Vehicles

Implementation of a Sate Estimator using Error-State Extended Kalman Filter (ES-EKF) to estimate the state a Self Driving vehicle with the data gathered during a test drive in the CARLA simulator.

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TinyHITNet

HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching

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X-StereoLab

SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE; ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE

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