Performance evaluation of automotive sensor data fusion

M. Stampfle, D. Holz, J. Becker
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引用次数: 9

Abstract

Modern passenger and commercial vehicles are equipped with an increasing number of sensors that explore the driving surroundings. Sensor data fusion algorithms accumulate all available sensor information and provide models describing the surroundings. In this paper, an approach to evaluate the performance of such automotive sensor data fusion algorithms is presented. The method calculates performance indices on several evaluation levels. Since the number of performance indices decreases from low to high evaluation levels, the indices can be arranged in a pyramidal structure. While a large number of indices on lower levels describe many aspects and details of the evaluation process, few indices on higher levels give a more overall answer to the performance issue.
汽车传感器数据融合性能评价
现代乘用车和商用车配备了越来越多的传感器来探测驾驶环境。传感器数据融合算法积累所有可用的传感器信息,并提供描述周围环境的模型。本文提出了一种评估此类汽车传感器数据融合算法性能的方法。该方法计算了多个评价层次上的性能指标。由于绩效指标的数量由低到高依次递减,因此指标可以按金字塔结构排列。虽然较低级别上的大量索引描述了评估过程的许多方面和细节,但较高级别上的索引很少对性能问题给出更全面的答案。
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