Abstract

Accurate and robust environmental perception is a critical requirement to address unsolved issues in the context of outdoor navigation, including safe interaction with living beings, obstacle detection, cooperation with other vehicles, mapping, and situation awareness in general. Aim of this paper is the development of perception algorithms to enhance the automatic understanding of the environment and develop advanced driving assistance systems for off-road vehicles. Specifically, the problem of terrain traversability assessment is addressed. Two strategies are presented. One exploits stereo data to segment drivable ground using a self-learning approach, without explicitly dealing with the obstacle detection issue, whereas the other one features a radar-stereo integrated system to detect and characterize obstacles. The paper details both methods and presents experimental results, obtained with a vehicle operating in rural and agricultural contexts.

Autore Pugliese

• Milella Annalisa

Tutti gli autori

• A. Milella; G. Reina; R. Rouveure

Titolo volume/Rivista

Non Disponibile

Anno di pubblicazione

2015

ISSN

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ISBN

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Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

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Numero di citazioni Scopus

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Ultimo Aggiornamento Citazioni

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Settori ERC

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Codici ASJC

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