Driving Feature Extraction from High and Low Skilled Drivers in Curve Sections Based on Machine Learning

スポンサーリンク

概要

• 論文の詳細を見る

• We have developed a new driving assistance system that can help low-skilled drivers improve their driving skills. We did this in three steps. First, we developed a statistical method to extract distinctions between high- and low-skilled drivers on the basis of AdaBoost, which selects a small number of critical operation features between high- and low-skilled drivers. Second, we built a driving skill evaluation model on the basis of the extracted features. Finally, we performed a series of experiments using a driving simulator, in which advice based on extracted features was supplied to low-skilled drivers and was expected to improve their driving skill. We also proposed an index for evaluating driving skill change, and results show the advice effectively improved the drivers' driving skills.

• 一般社団法人 日本機械学会の論文

著者

• Suda Yoshihiro

  Institute Of Industrial Science University Of Tokyo

• Sato Yoichi

  Institute For Molecular Science

• HIRASAWA Takayuki

  Institute of Industrial Science, the University of Tokyo

• LI Shuguang

  Institute of Industrial Science, the University of Tokyo

• YAMABE Shigeyuki

  Institute of Industrial Science, the University of Tokyo

• P. CHANDRASIRI

  Toyota Info Technology Center Co. LTD, Japan

• NAWA Kazunari

  Toyota Info Technology Center Co. LTD, Japan

関連論文

• Active Vibration Control of an Elevator Car Using Two Rotary Actuators
• Reflectance Estimation under Complex Illumination
• Reconstruction an object's shape from its appearance manifold under moving light (コンピュータビジョンとイメージメディア)
• Analysis of Vehicle/Turnout Interactions of Railroad Vehicles Using Multiple Contact Tables
• Laser Emission under ^4F_ and ^4F_ Pumping in Nd : LSB Micro-Laser
• A Quantitative Evaluation Method of Seat Arrangement for Commuter Railway Vehicles from the Viewpoint of Comfort and Accessibility
• Physical Fatigue Comparison of Eco-Driving and Normal Driving
• Segmentation of the Speaker's Face Region with Audiovisual Correlation
• Anti-Rolling System for Ships with Self-Powered Active Control
• On the in situ estimation of surface acoustic impedance in interiors of arbitrary shape by acoustical inverse methods
• Improvement of High Speed Stability and Curving Performance by Parameter Control of Trucks for Rail Vehicles Considering Independently Rotating Wheelsets and UnSymmetric Structure
• Study on Curving Characteristic of Vehicles with Non Linear Air Suspension(Special Issue on Nonlinear Dynamics)
• Self-Powered Active Vibration Control Using Continuous Control Input
• Self-powered active control applied to a truck cab suspension
• An MDL Approach to Learning Activity Grammars(Gestures)
• 環境への自動適応を伴うアピアランスベース頭部姿勢推定(テーマセッション,コンピュータビジョンとパターン認識のための機械学習)
• 環境への自動適応を伴うアピアランスベース頭部姿勢推定(テーマセッション,コンピュータビジョンとパターン認識のための機械学習)
• Driving Feature Extraction from High and Low Skilled Drivers in Curve Sections Based on Machine Learning
• Comfort and Accessibility Evaluation of Light Rail Vehicles
• Optimal Sampling for Efficient BRDF Acquisition
• Optimal Sampling for Efficient BRDF Acquisition

もっと見る 閉じる

スポンサーリンク