Despite the advent of autonomous cars, it's likely - at least in the near future - that human attention will still maintain a central role as a guarantee in terms of legal responsibility during the driving task. In this paper we study the dynamics of the driver's gaze and use it as a proxy to understand related attentional mechanisms. First, we build our analysis upon two questions: where and what the driver is looking at? Second, we model the driver's gaze by training a coarse-to-fine convolutional network on short sequences extracted from the DR(eye)VE dataset. Experimental comparison against different baselines reveal that the driver's gaze can indeed be learnt to some extent, despite i) being highly subjective and ii) having only one driver's gaze available for each sequence due to the irreproducibility of the scene. Eventually, we advocate for a new assisted driving paradigm which suggests to the driver, with no intervention, where she should focus her attention.

Learning Where to Attend Like a Human Driver / Palazzi, Andrea; Solera, Francesco; Calderara, Simone; Alletto, Stefano; Cucchiara, Rita. - (2017), pp. 920-925. (Intervento presentato al convegno IEEE Intelligent Vehicles Symposium tenutosi a Redondo Beach, CA, USA nel 11-14 June 2017).

Learning Where to Attend Like a Human Driver

PALAZZI, ANDREA;SOLERA, FRANCESCO;CALDERARA, Simone;ALLETTO, STEFANO;CUCCHIARA, Rita
2017

Abstract

Despite the advent of autonomous cars, it's likely - at least in the near future - that human attention will still maintain a central role as a guarantee in terms of legal responsibility during the driving task. In this paper we study the dynamics of the driver's gaze and use it as a proxy to understand related attentional mechanisms. First, we build our analysis upon two questions: where and what the driver is looking at? Second, we model the driver's gaze by training a coarse-to-fine convolutional network on short sequences extracted from the DR(eye)VE dataset. Experimental comparison against different baselines reveal that the driver's gaze can indeed be learnt to some extent, despite i) being highly subjective and ii) having only one driver's gaze available for each sequence due to the irreproducibility of the scene. Eventually, we advocate for a new assisted driving paradigm which suggests to the driver, with no intervention, where she should focus her attention.
2017
IEEE Intelligent Vehicles Symposium
Redondo Beach, CA, USA
11-14 June 2017
920
925
Palazzi, Andrea; Solera, Francesco; Calderara, Simone; Alletto, Stefano; Cucchiara, Rita
Learning Where to Attend Like a Human Driver / Palazzi, Andrea; Solera, Francesco; Calderara, Simone; Alletto, Stefano; Cucchiara, Rita. - (2017), pp. 920-925. (Intervento presentato al convegno IEEE Intelligent Vehicles Symposium tenutosi a Redondo Beach, CA, USA nel 11-14 June 2017).
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1133081
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 22
  • ???jsp.display-item.citation.isi??? 19
social impact