Pedestrians Walking on Reachable Sets and Manifolds

Michael Hartmann, Daniel Watzenig

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

It is a challenge to find safe trajectories for automated vehicles. Especially in urban environments with pedestrians there exist many different situations. The prediction of future movements with absolute certainty is impossible if the intention of the pedestrian is unknown. This paper is intended to offer a new concept of decision-making for motion planning with vulnerable road-users in urban environments. Reachability analysis is used to define spatial areas based on physical constraints, where the pedestrian might go. The approach is physically inspired and it can be proven for all kind of pedestrians. A new approach to cluster spatial areas is introduced to store specific environmental information about the pedestrian. The maximum values for jerk, acceleration and velocity of the pedestrian are necessary to find reachable areas.

Originalspracheenglisch
TitelProceedings - 2019 IEEE International Conference on Mechatronics, ICM 2019
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers
Seiten562-569
Seitenumfang8
ISBN (elektronisch)9781538669594
DOIs
PublikationsstatusVeröffentlicht - 24 Mai 2019
VeranstaltungIEEE 2019 International Conference on Mechatronics: ICM 2019 - TU Ilmenau, Ilmenau, Deutschland
Dauer: 18 März 201920 März 2019
https://ieee-icm2019.org/

Publikationsreihe

NameProceedings - 2019 IEEE International Conference on Mechatronics, ICM 2019

Konferenz

KonferenzIEEE 2019 International Conference on Mechatronics
KurztitelICM 2019
Land/GebietDeutschland
OrtIlmenau
Zeitraum18/03/1920/03/19
Internetadresse

ASJC Scopus subject areas

  • Artificial intelligence
  • Human-computer interaction
  • Fahrzeugbau
  • Maschinenbau
  • Steuerung und Optimierung
  • Wirtschaftsingenieurwesen und Fertigungstechnik

Fingerprint

Untersuchen Sie die Forschungsthemen von „Pedestrians Walking on Reachable Sets and Manifolds“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren