CLASSIFICATION OF TRAFFIC SIGNAL SYSTEM ANOMALIES FOR ENVIRONMENT TESTS OF AUTONOMOUS VEHICLES
Journal Title: UNKNOWN - Year 2018, Vol 19, Issue 2
Abstract
In the future there will be a lot of changes and development concerning autonomous transport that will affect all participants of transport. There are still difficulties in organizing transport, but with the intro-duction of autonomous vehicles more challenges can be expected. Recognizing and tracking horizontal and vertical signs can cause a difficulties for drivers and, later, for autonomous systems. Environmen-tal conditions, deformity and quality affect the perception of signals. The correct recognition results in safe travelling for everyone on the roads. Traffic signs are designed for people that is why the recogni-tion process is harder for the machines. However, nowadays some developers try to create a traffic sign that autonomous vehicles can use. Computer identification needs further development, as it is necessary to consider cases where traffic signs are deformed or not properly placed. In the following investigation, the advantages and disadvantages of the different perception methods and their possibili-ties were gathered. A methodology for the classification of horizontal and vertical traffic signs anoma-lies that may help in designing better testing and validation environments for traffic sign recognition systems in the future was also proposed.<br/><br/>
Authors and Affiliations
Henrietta Lengyel, Zsolt Szalay
Keywords
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- EP ID EP518113
- DOI DOI: 10.30657/pea.2018.19.09
- Views 37
- Downloads 0
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