ADAS Car - with Collision Avoidance System (CAS) - on Indian Roads using LIDAR-Camera Low-Level Sensor Fusion. DIY Gadget built with Raspberry Pi, RP LIDAR A1, Pi Cam V2, LED SHIM, NCS 2 and accessories like speaker, power bank etc

Driver Monitoring System by using deep learning model Gaze, Face detection, Face Landmark, and Head pose estimation.

Thermal imaging is crucial in Advanced driver assistance systems(ADAS) and medical field. Head tracking alongwith body gives an advantage of ability to predict the heading direction.

A real-time lane detection system applied computer vision techniques and deep learning.

This is an implementation of an adaptive cruise control system based on a computer vision pipeline. This work is based on YOLACT, a State-Of-The-Art real-time instance segmentation network. You're welcome to test and try our code, we hope you'll enjoy this work!

A Autonomous vehicle created using Raspberry and Arduino.

OPEN ADAS Lane detection system v1. Implements OpenCV. non learning platforms. Average accuracy and latency.