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richardtoo's Projects

adas icon adas

ADAS高级辅助驾驶的一些项目源码,包括LDW车道偏离预警、前车起步提醒等

adas-auto-braking icon adas-auto-braking

Advanced Driver Assistance Systems: Assignment Part II (Auto Emergency Braking System in Matlab Simulink)

aiml-dashcam-app icon aiml-dashcam-app

The objective of this repository is to create an android application which would have the deep model trained and converted to the Qualcomm NPE format and thus deployed

aistore icon aistore

AIStore: scalable storage for AI applications

android icon android

GitHub上最火的Android开源项目,所有开源项目都有详细资料和配套视频

antzos icon antzos

:earth_asia: Develop an intelligent AI half terminal half graphical operating system Antz. 一个随心所欲制造的操作系统Antz。

arm-vo icon arm-vo

Efficient monocular visual odometry for ground vehicles on ARM processors

ars_40x icon ars_40x

Driver for the Continental radar ARS_404 / ARS_408.

auto-birds-eye icon auto-birds-eye

Bird's eye/Top Down view generation and mapping with deep learning.

autolabeler icon autolabeler

Autolabel is a simple GUI tool to easily assign and verify *action labels* to individual frames of your self driving dataset.

automatic-parking icon automatic-parking

Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking

automold--road-augmentation-library icon automold--road-augmentation-library

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

autonomous-parking-system icon autonomous-parking-system

Automatic Parking is an autonomous car maneuvering system (part of ADAS) that moves a vehicle from a traffic lane into a parking spot to perform parallel parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking maneuver is achieved by means of coordinated control of the steering angle and speed which considers the actual situation i.e., the free spaces and the obstacle spaces in the environment to ensure collision-free motion within the available space. The path shape required for a parking maneuver is evaluated from the environmental model, generating a fifth-order polynomial, the corresponding control commands are selected and parameterized to provide motion within the available space. In real-time application, the commands are executed by the car servo-systems which drive the vehicle into the parking place.

bmw-yolov4-training-automation icon bmw-yolov4-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 or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

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