使用Kinect 2代作为硬件设备，Kinect for Windows SDK2.0作为API接口，C#－WPF作为开发语言。实现了在多种光照环境下的，人体疲劳监测。

An Environment Perception System for Smart Vehicles

This repository is for DDW(Driver Drowsiness Warning Deep Learning Project) using FRCNN with Resnet50 and Custom Backbone in Pytorch=1.10

Road instance segmentation using YOLOv8 object detection for annotation and the YOLOv8 object detection for segmentation

Semi-automatic detection, tracking and labelling of active targets for autonomous driving.

Radar Data Analyzer for SHRP2 NDS and other data sources

Visualization tools to be used for the exploration of publicly available Cirrus Dataset from Luminar and Volvo Car

Road segmentation using the Segment Anything Model (SAM)

Version 0.1 of Planned Dashboard for Dashboards

Adaptive Cruise Control Studienprojekt

The Fifth Driver is a project for the Adaptative Computing Developer Contest for Xilinx. We pretend to demonstrate that the Xilinx Ultrascale+ MPSoC architecture is suitable for developing machine learning applications applied to Autonomous Driving.

This repository is for German Traffic Sign Detection using Ultralytics YOLOv8

Maps the surrounding of the vehicle and maps the obstacle in the dashboard using object detection and ultrasonic

Desarrollo de un Asistente de conducción (ADAS) con deteccion de objetos mediante YOLO en aplicativo movil Android.

Advanced driver-assistance system on Raspberry Pi using CNN, Python and OpenCV

This repo contains all the codes. trained models, optimized version of models using TensorflowLite tool and validatation results

This program uses a deep neural network with several convolutional layers to classify traffic signs. The model is able to recognize traffic signs with an accuracy of 96,2%. It was trained and validated using the German Traffic Sign Dataset with 43 classes (types of traffic signs) and more than 50,000 images in total.

My work during the research internship "Automotive Control using Surface Electromyography" at The University of Tokyo, Jun.-Sep. 2020

Bachelor thesis introducing a concept of X-Graph to minimize the phenomenon of inharmonious maneuvers in vehicle routing.