In this work we aim to predict the driver's focus of attention. The goal is to estimate what a person would pay attention to while driving, and which part of the scene around the vehicle …
Y Xia, Z Qu, Z Sun, Z Li - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Autonomous vehicles have to share the road with human-driven ones for a prolonged period in the near future. Thus, they should have the ability to understand the lane changing …
Autonomous and assisted driving are undoubtedly hot topics in computer vision. However, the driving task is extremely complex and a deep understanding of drivers' behavior is still …
K Lv, H Sheng, Z Xiong, W Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
We consider the task of driver gaze prediction: estimating where the location of the focus of a driver should be, based on a raw video of the outside environment. In practice, we output a …
L Lebouc, P Richard, V Boucher, F Greffier, A Nicolaï - LEUKOS, 2024 - Taylor & Francis
We present a study of the influence of the travel modality (pedestrian, cyclist, motorist) on the observation angle of road surfaces in a nighttime situation under public lighting. This study is …
Y Maekawa, N Akai, T Hirayama… - Proceedings of the …, 2019 - openaccess.thecvf.com
Drivers obtain information on surrounding environment using their eyesights. Experienced eye-gaze behavior is needed when driving at places where multiple risks exist to prepare for …
NS Pal, S Lal, K Shinghal - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
An improved method for visibility enhancement of foggy based degraded images is presented. Proposed technique consists of two phases: firstly applied the visibility …
A Razavi, S Moschoyiannis… - 2008 The Third …, 2008 - ieeexplore.ieee.org
In this paper we are concerned with providing support for business activities in moving from value chains to value networks. We describe a fully distributed P2P architecture which …