Active safety functions that, based on sensor measurements, intervene in dangerous driving
situations by taking over the driving task have great potential to increase automotive safety …

This thesis tackles the problem of predicting the collision risk for vehicles driving in complex
traffic scenes for a few seconds into the future. The method is based on previous research …

Highway driving places significant demands on human drivers and autonomous vehicles
(AVs) alike due to high speeds and the complex interactions in dense traffic. Merging onto …

Autonomous vehicles are a research area of active interest. Collision avoidance system
(CAS) is one of the central concerns to provide security protection for autonomous vehicles …

Active safety systems require a criticality or threat metric to trigger interventions like
automatic emergency braking. We propose an optimal control problem (OCP) to find ground …

Copyright by Michael Jacob Motro 2019 Page 1 Copyright by Michael Jacob Motro 2019
Page 2 The Dissertation Committee for Michael Jacob Motro certifies that this is the …

Nature-inspired algorithms are new optimization ones which are on the basis of synergetic
evolution in recent years. They provide new ways to find solutions of complex problems …

Aquest treball s' emmarca dins el projecte Elektra, que tracta sobre el desenvolupament
d'un vehicle elèctric autònom completament automatitzat. Aquest vehicle està ubicat al …

This thesis develops a probabilistic vehicle tracking and behavior anticipation system for
advanced driver assistance systems. Advanced Driver Assistance System (s)(ADAS) need to …