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T4 Multisensor fusion in Automated driving

Length: 3 hours

Intended Audience: General

Description: This tutorial explains the domain of (cooperative) automated driving from a multisensor fusion perspective. Topics that will be discussed are, among others, Bayesian filtering and track-to-track fusion algorithms in automated driving, domain specific multisensor fusion requirements and prediction and measurement models. Both theoretical considerations and practical constraints for applying multisensor fusion in (cooperative) automated driving will be discussed.

Prerequisites: None, basic knowledge on Bayesian filtering is recommended

Presenter: Jos Elfring

Jos Elfring (born in Venray, the Netherlands, 1985) received the M.Sc. from Eindhoven University of technology in 2009 and the Ph.D. from the same university in 2014. He was a member of the Tech United RoboCup@Home team from 2011-2014. In 2014, he joined Integrated Vehicle Safety department of TNO (The Dutch Organization of Applied Sciences) where he researches, among others, prediction models and creating, maintaining and sharing world models for automated driving using multiple sensors.


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