Feb 10, 2023
Dec 5, 2022
Nov 20, 2022
Failures of autonomous vehicles are inevitable. One possible solution to cope with these failures is teleoperated driving, where a human operator controls the vehicle from a remote environment. In this thesis, adaptive video streaming for teleoperated driving is investigated to provide the operator with the best possible situation awareness when controlling the vehicle from remote. A teledriving framework for the adaptation of individual camera views based on the current traffic situation is developed. Additionally, a preprocessing filter concept is proposed that allows for individual rate/quality adaptation while considering the hardware limitations of autonomous vehicles.
Nov 3, 2022
Jul 20, 2022
Jun 19, 2022
May 17, 2022
Jan 12, 2022
A Units Library for C++
Nov 6, 2021
Dec 2, 2020