Generic Obstacle Detection for Mobile Devices Using a Dynamic Intermediate Representation

  • Radu Danescu
  • Andra Petrovai
  • Razvan Itu
  • Sergiu Nedevschi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 427)

Abstract

Obstacles are environment elements that need to be detected reliably and accurately. While active sensors and stereovision have the advantage of obtaining 3D data directly, monocular vision is easy to set up, and can benefit from the increasing computational power of smart mobile devices. Several driving assistance application are available for mobile devices, but they are mostly targeted for simple scenarios and a limited range of obstacle shapes and poses. This paper presents a technique for generic, shape independent real-time obstacle detection for mobile devices, based on a dynamic, free form 3D representation of the environment: the particle based occupancy grid. Monocular vision is used to update the occupancy grid, and the occupancy grid tracked cells are used for extracting the obstacles as cuboids having position, size, orientation and speed. The easy to set up system is able to reliably detect most obstacles in urban traffic, and its measurement accuracy is comparable to a stereovision system.

Keywords

Obstacle detection Occupancy grid Monocular vision Advanced driving assistance system Mobile device 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Radu Danescu
    • 1
  • Andra Petrovai
    • 1
  • Razvan Itu
    • 1
  • Sergiu Nedevschi
    • 1
  1. 1.Computer Science DepartmentTechnical University of Cluj-NapocaCluj-NapocaRomania

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