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.

ADAS app, for driving safty .YOLOX tiny + lane detection on Android with 15 FPS!

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.

This is my bachelor's thesis, which contains three main features: lane detection, road segmentation, and a Forward Collision Warning (FCW) system

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

Search-based software testing of a pedestrian detection system using ESI Pro-SiVIC

A Software-in-the-Loop simulator for a lane keeping assist system (LKAS) using V-REP to validate the LKAS controller and the lane detection algorithm.

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 beginner-friendly guide to ISO 26262 and functional safety in the automotive industry. This repo summarizes the core concepts, key processes, and safety activities from the standard in a clear and structured way.

FIR-based trajectory prediction at nighttime

This repository contains the final project work for Autonomous Driving Technologies class. Robust lane detection, Stanley control for steering, UDP communication between 2 systems, and traffic sign detectors form an autonomous navigation system.

A multi-microcontroller vehicle dashboard system with ADAS features, real-time UI, and AI-based speed limit detection using ESP32, STM32, Arduino, and Python.

This repository contains all the project submissions for Self-Driving Car Nanodegree

A Autonomous vehicle created using Raspberry and Arduino.

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

A Software-in-the-Loop simulator for lane keeping assist system (LKAS) using Matlab and VREP.

Detecting various irregularities in road surfaces using images which can be integrated with an ADAS based vehicular navigation system to provide assistance while driving.

Data-driven analysis of 1.53M German crash records to identify high-severity scenarios missing from Euro NCAP ADAS validation protocols.