Coverage, redundancy and blind spots of autonomous vehicles

A graph neural network for the segmentation and object detection in radar point clouds.

An Ethical Trajectory Planning Algorithm for Autonomous Vehicles

Neuronales Netz zur Trajektorienprädiktion von Fahrzeugen mit OnlineLearning

Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing

Sim-to-Real Distribution-Aligned Dataset (S2R-DAD) for Domain Shift and Domain Adaptation Analysis

RGB-L: An Extension to Integrate LiDAR Data into ORB-SLAM3

Structured Deep Neural Motion Prediction of Opposing Vehicles for an Autonomous Racecar

This repository contains a quasi-steady-state lap time simulation implemented in Python. It can be used to evaluate the effect of various vehicle parameters on lap time and energy consumption.