Online orientation prior for dynamic grid-maps

Joseph Wessner, Wolfgang Utschick

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

This work gives a summary of our implemented algorithm for dynamic grid map with integrated cell-based velocity estimation. We propose a novel approach to generate prior information for the orientation of newly initialized particles. Our proposal does not rely on any additional input information as maps with the road topology, but does only rely on the vehicle motions and sensor data. Furthermore we show the improvement resulting from this prior information under certain conditions such as turning scenarios and that there is no significant degradation in other conditions.

OriginalspracheEnglisch
Titel32nd IEEE Intelligent Vehicles Symposium, IV 2021
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten818-823
Seitenumfang6
ISBN (elektronisch)9781728153940
DOIs
PublikationsstatusVeröffentlicht - 11 Juli 2021
Veranstaltung32nd IEEE Intelligent Vehicles Symposium, IV 2021 - Nagoya, Japan
Dauer: 11 Juli 202117 Juli 2021

Publikationsreihe

NameIEEE Intelligent Vehicles Symposium, Proceedings
Band2021-July

Konferenz

Konferenz32nd IEEE Intelligent Vehicles Symposium, IV 2021
Land/GebietJapan
OrtNagoya
Zeitraum11/07/2117/07/21

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