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Open AccessJournal ArticleDOI

Looking-In and Looking-Out of a Vehicle: Computer-Vision-Based Enhanced Vehicle Safety

TLDR
In this article, a system-oriented framework for developing computer-vision technology for safer automobiles is presented, which considers three main components of the system: environment, vehicle, and driver.
Abstract
This paper presents investigations into the role of computer-vision technology in developing safer automobiles. We consider vision systems, which cannot only look out of the vehicle to detect and track roads and avoid hitting obstacles or pedestrians but simultaneously look inside the vehicle to monitor the attentiveness of the driver and even predict her intentions. In this paper, a systems-oriented framework for developing computer-vision technology for safer automobiles is presented. We will consider three main components of the system: environment, vehicle, and driver. We will discuss various issues and ideas for developing models for these main components as well as activities associated with the complex task of safe driving. This paper includes a discussion of novel sensory systems and algorithms for capturing not only the dynamic surround information of the vehicle but also the state, intent, and activity patterns of drivers

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Citations
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Journal ArticleDOI

Three Decades of Driver Assistance Systems: Review and Future Perspectives

TL;DR: This contribution provides a review of fundamental goals, development and future perspectives of driver assistance systems, and examines the progress incented by the use of exteroceptive sensors such as radar, video, or lidar in automated driving in urban traffic and in cooperative driving.
Journal ArticleDOI

Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey

TL;DR: A survey of the traffic sign detection literature, detailing detection systems for traffic sign recognition (TSR) for driver assistance and discussing future directions of TSR research, including the integration of context and localization.
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Pedestrian Protection Systems: Issues, Survey, and Challenges

TL;DR: A comprehensive review of research efforts underway dealing with pedestrian safety and collision avoidance is presented, including research dealing with probabilistic modeling of pedestrian behavior for predicting collisions between pedestrians and vehicles.
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A General Active-Learning Framework for On-Road Vehicle Recognition and Tracking

TL;DR: Experimental results show that this framework yields a robust efficient on-board vehicle recognition and tracking system with high precision, high recall, and good localization.
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Head Pose Estimation and Augmented Reality Tracking: An Integrated System and Evaluation for Monitoring Driver Awareness

TL;DR: A new procedure for static head-pose estimation and a new algorithm for visual 3-D tracking are presented and integrated into the novel real-time system for measuring the position and orientation of a driver's head.
References
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Journal ArticleDOI

Humans and Automation: Use, Misuse, Disuse, Abuse

TL;DR: Understanding the factors associated with each of these aspects of human use of automation can lead to improved system design, effective training methods, and judicious policies and procedures involving automation use.
Journal Article

Humans and automation: Use, misuse, disuse, abuse

TL;DR: In this paper, the authors address theoretical, empirical, and analytical studies pertaining to human use, misuse, disuse, and abuse of automation technology, and propose a method to detect false alarms and omissions.
Journal ArticleDOI

Trust, control strategies and allocation of function in human-machine systems.

TL;DR: An experiment is reported to characterize the changes in operators' trust during an interaction with a semi-automatic pasteurization plant, and a regression model identifies the causes of changes in trust and a 'trust transfer function' is developed using time series analysis to describe the dynamics of trust.
Journal ArticleDOI

GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection

TL;DR: The generic obstacle and lane detection system (GOLD), a stereo vision-based hardware and software architecture to be used on moving vehicles to increment road safety, allows to detect both generic obstacles and the lane position in a structured environment at a rate of 10 Hz.
Journal ArticleDOI

Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation

TL;DR: A comparison of a wide variety of methods, pointing out the similarities and differences between methods as well as when and where various methods are most useful, is presented.
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