Cyberphysical Smart Cities Infrastructures

9Implementation and Evaluation of Computer Vision Prototype for Vehicle Detection

Gabrielle Bakker‐Reynolds, Emre Erturk, Istvan Lengyel, and Noor Alani

Eastern Institute of Technology, School of Computing, Hawke's Bay, New Zealand

9.1 Prototype Setup

9.1.1 Introduction

Vehicle detection is a useful environment understanding process for describing two‐dimensional (2D) and three‐dimensional (3D) scenes in computer vision. It is frequently used for the development of computer vision modules for autonomous cars and robotics. Robust vehicle detection and scene understanding are key tasks for visual sensors (cameras) in autonomous cars for being able to interpret and act within a dynamic environment [1, 2]. Cameras play a significant role in autonomous driving. They are capable of providing rich information including object detection and distances of objects given in traffic scenes. Hence, developing a prototype that is capable of handling large amounts of image data has been a challenging task especially where the prototypes are designed from locally available resources.

Subsequently, this chapter explores how vehicle detection can be applied to support traffic flow analysis with the aim to design and develop a computer vision prototype from available resources during 2020. This chapter also assumes a design‐based approach, composed of two iteration‐based approaches employed to develop a prototype for vehicle detection utilizing a nano‐computer. The first iteration was the phases ...