{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/learning-where-to-attend-like-a-human-driver","title":"Learning Where to Attend Like a Human Driver","arxiv_id":"1611.08215","date":"2016-11-24","proceeding":null,"authors":["Andrea Palazzi","Francesco Solera","Simone Calderara","Stefano Alletto","Rita Cucchiara"],"abstract":"Despite the advent of autonomous cars, it's likely - at least in the near\nfuture - that human attention will still maintain a central role as a guarantee\nin terms of legal responsibility during the driving task. In this paper we\nstudy the dynamics of the driver's gaze and use it as a proxy to understand\nrelated attentional mechanisms. First, we build our analysis upon two\nquestions: where and what the driver is looking at? Second, we model the\ndriver's gaze by training a coarse-to-fine convolutional network on short\nsequences extracted from the DR(eye)VE dataset. Experimental comparison against\ndifferent baselines reveal that the driver's gaze can indeed be learnt to some\nextent, despite i) being highly subjective and ii) having only one driver's\ngaze available for each sequence due to the irreproducibility of the scene.\nEventually, we advocate for a new assisted driving paradigm which suggests to\nthe driver, with no intervention, where she should focus her attention.","url_abs":"http://arxiv.org/abs/1611.08215v2","url_pdf":"http://arxiv.org/pdf/1611.08215v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"learning-where-to-attend-like-a-human-driver","repo_url":"https://github.com/francescosolera/dreyeving","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}