Uncertainty-aware RSS - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Uncertainty-aware RSS

Résumé

In this preliminary work, the authors present a potential solution on the issue of real time parameter estimation within a safety critical application. When computing the frontal safety distance, each vehicles type requires, in principle, a different safety distances depending on its capability to brake at a greater or lower rate. In order to account for different braking capabilities, an object detection and recognition algorithm must be employed, and thus, some classification uncertainty is introduced in the system. We propose to employ such a solution, in order to maximise the utility of the system by accounting for different vehicle types, while considering the uncertainty, in order to preserve safety.
Fichier principal
Vignette du fichier
SAFECOMP_2023_paper_2681.pdf (171.57 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04191516 , version 1 (30-08-2023)

Identifiants

Citer

Francesco Carella, Oleg Oleinichenko, Philipp Schleiss. Uncertainty-aware RSS. SAFECOMP 2023, Position Paper, Sep 2023, Toulouse, France. ⟨10.48550/arXiv.1708.06374⟩. ⟨hal-04191516⟩

Collections

LAAS SAFECOMP2023
42 Consultations
17 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More