Abstract
Traffic light (TL) classification is an important feature for automated driving, and it requires correct color separation of the TL signals captured using cameras. A key camera component for the color separation performance is the color filter array (CFA). For common automotive-specific CFAs, we have observed unsatisfactory performance for TL color separation, which indicates the need for an optimization. Based on typical scenarios for TL classification and a set of recorded TL signals, we evaluate the performance of common automotive CFAs. For a quantitative evaluation, we propose a suitable color distance metric. We also propose a method for optimization of the CFA and show that using this method, reference color separation performance can be achieved, trading in only a small amount of sensitivity.
Highlights
Understand Color Management**Abhay Sharma, published by John Wiley & Sons, Inc. 2018 (list price $115), 344 pp., ISBN 978-1-119-22363-4, 2 lbs.
Fairchild, published by John Wiley & Sons, Inc. 2013 (list price $139), 472 pp., ISBN 978-1-119-96703-3, 2.5 lbs.
R. Pointer, published by John Wiley & Sons, Inc. 2011 (list price: $128), 496 pages; ISBN 978-1-11997537-3, 3 lbs.
Summary
Abhay Sharma, published by John Wiley & Sons, Inc. 2018 (list price $115), 344 pp., ISBN 978-1-119-22363-4, 2 lbs. Fairchild, published by John Wiley & Sons, Inc. 2013 (list price $139), 472 pp., ISBN 978-1-119-96703-3, 2.5 lbs. R. Pointer, published by John Wiley & Sons, Inc. 2011 (list price: $128), 496 pages; ISBN 978-1-11997537-3, 3 lbs. R.W.G. Hunt, published by John Wiley & Sons, Inc. 2004 (list price $182), 792 pp., ISBN 0-470-02425-9, 5 lbs.
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