Vehicles driving behavior recognition based on transfer learning
Due to the complexity of experiments to test driving behaviors and the high cost of data
collection for some types of vehicles, eg, heavy-duty freight vehicles, it is normally hard to …
collection for some types of vehicles, eg, heavy-duty freight vehicles, it is normally hard to …
Driver monitoring using sparse representation with part-based temporal face descriptors
Many driver monitoring systems (DMSs) have been proposed to reduce the risk of human-
caused accidents. Traditional DMSs focus on detecting specific predefined abnormal driving …
caused accidents. Traditional DMSs focus on detecting specific predefined abnormal driving …
D3. 2 Toolbox of recommended data collection tools and monitoring methods and a conceptual definition of the Safety Tolerance Zone
The STZ is the core concept of the i-DREAMS project. This report aims to explicitly describe
the practical conceptualisation of the STZ to develop the theoretical framework for …
the practical conceptualisation of the STZ to develop the theoretical framework for …
Learning to estimate driver drowsiness from car acceleration sensors using weakly labeled data
This paper addresses the learning task of estimating driver drowsiness from the signals of
car acceleration sensors. Since even drivers themselves cannot perceive their own …
car acceleration sensors. Since even drivers themselves cannot perceive their own …
Abnormal driving behaviour detection: a skeleton sequence analysis based method.
LY Yao, W Yang, W Huang - Advances in transportation …, 2019 - search.ebscohost.com
Since driving behaviour has a close relationship with driving safety, forming good driving
habits and avoiding unsafe driving activities are important for drivers to keep away from …
habits and avoiding unsafe driving activities are important for drivers to keep away from …
[引用][C] The utility of gaze entropy measures in estimating visual scanning efficiency to detect driver impairment
B Shiferaw - 2019 - Melbourne, Australia: Swinburne …
[引用][C] i-DREAMS: D3. 2 Toolbox of recommended data collection tools and monitoring methods and a conceptual definition of the Safety Tolerance Zone
自動運転のための深層学習による画像認識に関する一考察
楊陽， 安部博枝， 萩原一郎 - 計算力学講演会講演論文集2017.30, 2017 - jstage.jst.go.jp
Image recognition in urban scenarios is a key functionality for autonomous driving. The
emergency of large-scale image datasets like ImageNet [1], Places [2], COCO [3] and …
emergency of large-scale image datasets like ImageNet [1], Places [2], COCO [3] and …
自動運転のための深層学習による負の顔表情分析
安部博枝， 楊陽， 萩原一郎 - 計算力学講演会講演論文集2017.30, 2017 - jstage.jst.go.jp
1. はじめに自動車産業ではその時代の最重要課題がある. 少し前までは, ガソリンやディーゼルに
代わる新しい動力源の開発競争が新聞紙上を賑わしていたが, 最近では自動運転が最重要課題 …
代わる新しい動力源の開発競争が新聞紙上を賑わしていたが, 最近では自動運転が最重要課題 …