Computational modelling for autonomous vehicle navigation using stereo vision sensor

被引：0

作者：

Hamzah, Rostam Affendi ^{[1
]}

Wei, Melvin Gan Yeou ^{[2
]}

Anwar, Nik Syahrim Nik ^{[2
]}

Kadmin, Ahmad Fauzan ^{[1
]}

Abd Gani, Shamsul Fakhar ^{[1
]}

Hamid, Mohd Saad ^{[1
]}

Salam, Saifullah ^{[1
]}

Mohamood, Nadzrie ^{[1
]}

机构：

[1] Univ Tekn Malaysia Melaka, Fac Engn Technol, Durian Tunggal 76100, Melaka, Malaysia

[2] Univ Tekn Malaysia Melaka, Fac Elect Engn, Durian Tunggal 76100, Melaka, Malaysia

来源：

PROCEEDINGS OF MECHANICAL ENGINEERING RESEARCH DAY 2018 (MERD) | 2018年

关键词：

Autonomous vehicle; computational modelling; stereo vision;

D O I：

暂无

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper proposes a new computational modelling for autonomous vehicle navigation (AVN) using a stereo vision sensor. The modelling process requires four important stages which are matching cost computation, cost aggregation, optimization and refinement stage. The result will be a depth map which will be used for the AVN. This map contains the depth information and obstacle locations. Based on the standard benchmarking evaluation system from the KITTI, the proposed work produces an accurate result and very competitive with recent published works in the KITTI database.

引用

页码：59 / 60

页数：2

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