scispace - formally typeset
J

Jeroen Ploeg

Researcher at Eindhoven University of Technology

Publications -  114
Citations -  5869

Jeroen Ploeg is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Cooperative Adaptive Cruise Control & Platoon. The author has an hindex of 29, co-authored 111 publications receiving 4602 citations. Previous affiliations of Jeroen Ploeg include Halmstad University & Netherlands Organisation for Applied Scientific Research.

Papers
More filters
Proceedings ArticleDOI

Performance analysis of a cooperative adaptive cruise controller subject to dynamic time headway

TL;DR: It is shown that an adopted cooperative adaptive cruise controller renders the string of vehicles stable even if the spacing policy is time variant, i.e., the safe inter-vehicle distance policy does not change continuously.
Journal ArticleDOI

A spatial approach to control of platooning vehicles: separating path-following from tracking

TL;DR: In this article, a new way to look at the combined lateral and longitudinal control problem for platooning vehicles by studying these problems separately is introduced, where the lateral control problem is approached as a path following problem in the spatial domain: based on the path of the preceding vehicle, the following vehicle which converges to the given path of its predecessor.
Journal ArticleDOI

Experimental evaluation of a co-operative driving setup based on inter-vehicle communication.

TL;DR: Field experiments conducted to evaluate a co-operative longitudinal controller for a cluster of vehicles with inter-vehicle communication (IVC) and use a DGPS-based Extended Kalman Filter (EKF).
Journal ArticleDOI

Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles

TL;DR: The presented method can automatically determine the optimal scenario parameterization and pdf estimation and it is demonstrated that the SR metric can be used to choose the (number of) parameters that best describe a scenario.