Autonomous tracking of vehicle taillights and alert signal detection by embedded smart cameras

Akhan Almagambetov, Senem Velipasalar

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

An important aspect of collision avoidance and driver assistance systems, as well as autonomous vehicles, is the tracking of vehicle taillights and the detection of alert signals (turns and brakes). In this chapter, we present the design and implementation of a robust and computationally lightweight algorithm for a real-time vision system, capable of detecting and tracking vehicle taillights, recognizing common alert signals using a vehicle-mounted embedded smart camera, and counting the cars passing on both sides of the vehicle. The system is low-power and processes scenes entirely on the microprocessor of an embedded smart camera. In contrast to most existing work that addresses either daytime or nighttime detection, the presented system provides the ability to track vehicle taillights and detect alert signals regardless of lighting conditions. The mobile vision system has been tested in actual traffic scenes and the obtained results demonstrate the performance and lightweight nature of the algorithm.

Original languageEnglish (US)
Title of host publicationDistributed Embedded Smart Cameras
Subtitle of host publicationArchitectures, Design and Applications
PublisherSpringer New York
Pages121-150
Number of pages30
Volume9781461477051
ISBN (Electronic)9781461477051
ISBN (Print)1461477042, 9781461477044
DOIs
StatePublished - May 1 2014

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science(all)

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    Almagambetov, A., & Velipasalar, S. (2014). Autonomous tracking of vehicle taillights and alert signal detection by embedded smart cameras. In Distributed Embedded Smart Cameras: Architectures, Design and Applications (Vol. 9781461477051, pp. 121-150). Springer New York. https://doi.org/10.1007/978-1-4614-7705-1_6