In this paper, we present a novel probabilistic compact representation of the on-road
environment, ie, the dynamic probabilistic drivability map (DPDM), and demonstrate its utility …

Vehicles that are becoming more highly automated are revolutionizing the world's
transportation systems for their promise of increased safety and efficiency. The advantage of …

The causes of crashes on urban expressways are mostly related to the unsafe behaviors of
drivers before the crash. This study focuses on sideswipe collisions on urban expressways …

With the rising number and complexity of advanced driver assistance systems the need of
adapting the assistance depending on driver intentions and driving situations becomes …

This paper addresses the problem of the development, implementation and testing of a Lane
Change Decision Aid System on a motorcycle, by using a short range radar sensor and a set …

The task of driving is very complex and highly demanding for the individual. The optimal
driver assistance strongly depends on the situation and the driver's needs. In particular, this …

Advanced driver assistance systems (ADAS) and autonomous driving (AD) have
increasingly gained more attention in automotive industries and road safety research …

UNIVERSITY OF CALIFORNIA, SAN DIEGO Learning, Modeling, and Understanding Vehicle
Surround Using Multi-Modal Sensing A dissertat Page 1 UNIVERSITY OF CALIFORNIA, SAN …

Die Steigerung der Verkehrssicherheit ist seit langer Zeit das Ziel der Automobilhersteller.
Dazu wurden in vergangenen Jahren viele Fahrerassistenzsysteme entwickelt, die das …

Scanning the Issue and Beyond: Transportation Games for Social Transportation | IEEE
Transactions on Intelligent Transportation Systems skip to main content ACM Digital Library …