Software Tool for Evaluation of Multi-Sensor Object Tracking in ADAS Systems

被引：0
|
作者：
Medaglini, A. [1 ]
Bartolini, S. [1 ]
Di Massa, V. [2 ]
Dini, F. [3 ]
机构：
[1] Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, Siena, Italy
[2] Thales Italy, Via Lucchese 33, Sesto Fiorentino, Italy
[3] Magenta srl, Via B. Pasquini 6, Florence, Italy
来源：
Ada User Journal | 2022年 / 43卷 / 03期
关键词：
Advanced driver assistance systems - Automobile drivers - Autonomous vehicles - Decision making - Tracking (position);
D O I：
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中图分类号：
学科分类号：
摘要：
Nowadays, the innovations of AI and other automated decision-making software are spreading to many differ-ent areas. The automotive field in particular is rapidly shifting towards the concepts of Advanced Driver Assis-tance Systems (ADAS), which could bring huge benefits in the future. However, before being able to use these tools, many assurances are required regarding their functioning and safety. To this end, several control tech-niques exist to evaluate the performance of this software, but a reliable and repeatable method for evaluating complex scenarios and corner cases is still lacking. In this paper, we propose a suite of tools for the generation and analysis of synthetic tests, aimed at evaluating and an-alyzing the functioning of autonomous driving systems in order to measure their effectiveness and drive their development. © 2022, Ada-Europe. All rights reserved.
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页码：177 / 186
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