Notice of Retraction: Research of Intelligent Vehicle Active Safety System

Zhang, Zhiyuan; Li, San; Zhang, Jie

doi:10.1109/itcs.2010.80

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…Therefore, in order to get the parameter D and establish the curve section prediction model we first need to measure the curvature of the intermediate parameters. We use the following methods to measure the road curvature in the course of vehicle (Zhan, 2014):…”

Section: Model Buildingmentioning

confidence: 99%

Target Lane Changing Prediction Method for ACC System

Li¹,

Ren²

2017

dtetr

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ABSTRACT:To improve the safety of adaptive cruise control system (ACC), experiment platform was built up. We obtained the movement state data of the host vehicle and vehicle ahead. Based on the distance between them, the lateral and longitudinal velocity, using Hidden Markov theory, we set up lane change intention prediction model of the vehicle ahead, which tested by the measured data. The results show that the prediction accuracy of the straight line section is 97% and in the curve section is 96%.

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Section: Model Buildingmentioning

confidence: 99%

Target Lane Changing Prediction Method for ACC System

Li¹,

Ren²

2017

dtetr

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show abstract

“…On the other hand, several newly developed systems try to cope with accidents and to prevent them through exploitation of smart sensors capable of recognizing a critical state and directly acting on cars' performance in order to guarantee the safety of the driver [6], [7]. Other applications focus on systems which are able to present to the driver large information flows.…”

Section: Introductionmentioning

confidence: 99%

Interaction modeling in automotive applications: A cognitive approach

Ciardelli

Bixio

Regazzoni

2011

2011 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA

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Abstract-In the last decade, the design of smart tools applied to the automotive sector is becoming more and more required to support driving tasks and to increase drivers' safety. In this work, a system for the joint analysis of the on board/off board vehicle context is proposed to derive considerations on the driver's behavior and to detect possible dangerous situations. In particular, a cognitive model is exploited to provide a representation of interactions among the driver, the vehicle and the surrounding environment. Preliminary studies and results are presented concerning such a cognitive approach and the representation of occurring events for situation assessment and management towards maintenance and increasing of driver's safety.

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Android-based driving assistant for lane detection and departure warning

Tsung-Yu

Chung

2014

Proceedings of the 33rd Chinese Control Conference

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Notice of Retraction: Research of Intelligent Vehicle Active Safety System

Cited by 4 publications

References 2 publications

Target Lane Changing Prediction Method for ACC System

Target Lane Changing Prediction Method for ACC System

Interaction modeling in automotive applications: A cognitive approach

Android-based driving assistant for lane detection and departure warning

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