Popular GitHub Repositories for Automotive

[CVPR 2023 Highlight ?] Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision

[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

[RA-L & IROS'22] Self-Supervised Scene Flow Estimation with 4-D Automotive Radar

Developed to assist in managing day-to-day operations of a mobile automotive diagnostic, and car key replacement business. This project integrates several technologies to improve hands-free interaction while driving. Automotive-AI can be customized for 2-way interaction with any available API services.

A curated list of automotive radar slam and odometry papers

Zokyo is a MLOps friendly image augmentation library written in python built with modularity and extensibility in mind. Specifically crafted for automotive deep learning development.

Using deep learning to predict the speed of a moving vehicle.

Universal embedded CRDTs for distributed coordination across automotive, robotics, IoT, and industrial applications

In this project, we'll construct a fully convolutional neural network based on the VGGNet-16 architecture to perform semantic segmentation on a video captured from a front facing camera mounted on a vehicle dashboard to identify the drivable surface area.

Code for the Paper "Real Time Semantic Segmentation of High Resolution Automotive LiDAR Scans"

Multimodal & infrared automotive dataset. Published at WACV 2024 (Oral).

Fully Homomorphic Encryption for Private Federated Learning

Estimate object trajectories in an automotive context, using KITTI dataset, with CNNs.

Custom YOLO11m model for detecting and classifying car body damage (99% shattered glass, 96% flat tire detection accuracy)—optimized for high-capacity inference and assistive use in inspection and service workflows like BMW pre-loaner inspections.

Neuro-symbolic anomaly detection and complex fault diagnosis exemplified in the automotive domain.

A smart, conversational interface for automotive part queries. Leverages Amazon Bedrock and OpenSearch to provide accurate part information, compatibility checks, and detailed responses. Streamlines the process of finding and verifying car parts for owners and mechanics.

This repo contains the code and experiments of the paper "User-Empowered Federated Learning in Android"

Quantitative decision making in automotive industry ??

VDSS - Vehicle Dynamics Safety Simulator