Conference Publication Details
Mandatory Fields
Dooley, D,McGinley, B,Kilmartin, L,Jones, E,Glavin, M,Hughes, C,
A Comprehensive Test Framework to Determine the Spatial Performance of Camera-Based Vehicle Detection Algorithms
2014 13TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION (ICARCV)
2014
January
Published
1
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Optional Fields
Image processing automotive vision blind spot detection forward collision warning rear-end collision warning fish-eye lens FEATURES SYSTEM
377
382
This paper proposes a performance test framework for vision based vehicle detection systems implemented on road-going vehicles. An extensive literature review outlines the evolution of test frameworks used by a number of recently published vehicle detection systems. The proposed test framework determines the effectiveness of a detection algorithm as a function of distance between the host and target vehicles. The framework assists the characterisation of an algorithm's performance over the full range of distances in which a vehicle can be detected in an image. The test framework is designed for use in blind spot detection, forward collision warning and rear end collision warning applications.
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