Automated Driving Functionality for Intersection Crossing

Master thesis (2018)

Authors

A. van der Heide Mechanical Engineering

Contributors

M. Mazo (supervisor 1)
Sikandar Moten (supervisor 1)
Francesco Celiberti (supervisor 1)
Faculty
Mechanical Engineering
Copyright: © 2018 Oane van der Heide
Automated driving Collision Avoidance Driving Simulator Intersection crossing
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Published Date

22-03-2018

Language

English

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Faculty

Mechanical Engineering

Abstract

To reduce the number of traffic accidents on the roads, nowadays computers are aiding humans or taking over control from humans in vehicles. The necessity of Advanced Driver-Assistance Systems (ADAS) in vehicles is growing. New vehicles are being equipped with ADAS, like Adaptive Cruise Control (ACC), to avoid head-to-tail collisions. Still, many steps need to be taken in order to develop a fully autonomous vehicle. One of these steps is the safe crossing of a vehicle on an intersection. The crossing of an intersection is challenging as trajectories of various vehicles may overlap at a certain moment, which may result in a collision.

A controller is developed to safely guide a vehicle through an intersection by avoiding a collision with one other road user, while taking a turn or going straight. The other road user can be autonomous or human driven. The controller is tested on a high fidelity model and used as an ADAS in a driving simulator.