Validation and Benchmarking for Pedestrian Video Detection based on a Sensors Simulation Platform

被引：0

作者：

Bossu, Jeremie ^{[1
]}

Gruyer, Dominique

Smal, Jean Christophe ^{[1
]}

Blosseville, Jean Marc ^{[1
]}

机构：

[1] LEMCO INRETS, F-78000 Versailles, France

来源：

2010 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV) | 2010年

关键词：

TRACKING; MOTION;

D O I：

10.1109/IVS.2010.5548031

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The evaluation stage is an important part in the validation of ADAS robustness. Moreover, the control and the repetitiveness of the experimentations were very difficult to conduct on real road due to safety reasons. Moreover, the lack of data/sensors or the complexity of the experiment are often very penalizing for a correct and exhaustive evaluation. It is for these reasons that LIVIC launched the development of a software simulation architecture (SiVIC), to support its research activities on ADAS. The use of such a simulation platform can provide both simulated sensors data and a ground truth reference for the validation stages. This paper proposes a general framework and a protocol in order to evaluate the result of pedestrian detection by camera processing.

引用

页码：115 / 122

页数：8

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