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pro vyhledávání: '"Reimer Bryan"'
Understanding the context of crash occurrence in complex driving environments is essential for improving traffic safety and advancing automated driving. Previous studies have used statistical models and deep learning to predict crashes based on seman
Externí odkaz:
http://arxiv.org/abs/2411.17886
Autor:
Ding, Li, Terwilliger, Jack, Parab, Aishni, Wang, Meng, Fridman, Lex, Mehler, Bruce, Reimer, Bryan
Non-intrusive, real-time analysis of the dynamics of the eye region allows us to monitor humans' visual attention allocation and estimate their mental state during the performance of real-world tasks, which can potentially benefit a wide range of hum
Externí odkaz:
http://arxiv.org/abs/2306.15073
Publikováno v:
In Transportation Research Part F: Psychology and Behaviour February 2025 109:232-241
Distracted drivers are dangerous drivers. Equipping advanced driver assistance systems (ADAS) with the ability to detect driver distraction can help prevent accidents and improve driver safety. In order to detect driver distraction, an ADAS must be a
Externí odkaz:
http://arxiv.org/abs/2012.02906
Publikováno v:
In Accident Analysis and Prevention November 2023 192
Autor:
Terwilliger, Jack, Glazer, Michael, Schmidt, Henri, Domeyer, Josh, Toyoda, Heishiro, Mehler, Bruce, Reimer, Bryan, Fridman, Lex
Humans, as both pedestrians and drivers, generally skillfully navigate traffic intersections. Despite the uncertainty, danger, and the non-verbal nature of communication commonly found in these interactions, there are surprisingly few collisions cons
Externí odkaz:
http://arxiv.org/abs/1904.04202
Autor:
AlAdawy, Dina, Glazer, Michael, Terwilliger, Jack, Schmidt, Henri, Domeyer, Josh, Mehler, Bruce, Reimer, Bryan, Fridman, Lex
When asked, a majority of people believe that, as pedestrians, they make eye contact with the driver of an approaching vehicle when making their crossing decisions. This work presents evidence that this widely held belief is false. We do so by showin
Externí odkaz:
http://arxiv.org/abs/1904.04188
Semantic scene segmentation has primarily been addressed by forming representations of single images both with supervised and unsupervised methods. The problem of semantic segmentation in dynamic scenes has begun to recently receive attention with vi
Externí odkaz:
http://arxiv.org/abs/1904.00758
This paper describes a set of data made available that contains detailed subtask coding of interactions with several production vehicle human machine interfaces (HMIs) on open roadways, along with accompanying eyeglance data.
Comment: Paper with
Comment: Paper with
Externí odkaz:
http://arxiv.org/abs/1902.03239
We propose that safe, beautiful, fulfilling vehicle HMI design must start from a rigorous consideration of minimalist design. Modern vehicles are changing from mechanical machines to mobile computing devices, similar to the change from landline phone
Externí odkaz:
http://arxiv.org/abs/1805.02787