实时识别大规模驾驶模式

ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585) Pub Date : 2001-08-25 DOI:10.1109/ITSC.2001.948801

J. Engstrom, T. Victor

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引用次数: 14

摘要

这项工作探索了实时、自动识别大规模驾驶情况的可能性。采用前馈神经网络实现的统计模式识别框架，开发了从车辆控制数据识别四类驾驶情况的模型:高速公路、主干道、郊区交通和城市交通。

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Real-time recognition of large-scale driving patterns

This work has explored the possibilities of real-time, automatic, recognition of large-scale driving situations. Employing a statistical pattern recognition framework, implemented by means of feedforward neural networks, models were developed for recognising, from vehicle control data, four classes of driving situations: highway, main road, suburban traffic and city traffic.

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来源期刊

ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)

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