International Conference on Computer Analysis of Images and Patterns

CAIP 2015: Computer Analysis of Images and Patterns pp 582-593 | Cite as

Towards Ubiquitous Autonomous Driving: The CCSAD Dataset

  • Roberto Guzmán
  • Jean-Bernard Hayet
  • Reinhard Klette
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9256)

Abstract

Several online real-world stereo datasets exist for the development and testing of algorithms in the fields of perception and navigation of autonomous vehicles. However, none of them was recorded in developing countries, and therefore they lack the particular challenges that can be found on their streets and roads, like abundant potholes, irregular speed bumpers, and peculiar flows of pedestrians. We introduce a novel dataset that possesses such characteristics. The stereo dataset was recorded in Mexico from a moving vehicle. It contains high-resolution stereo images which are complemented with direction and acceleration data obtained from an IMU, GPS data, and data from the car computer. This paper describes the structure and contents of our dataset files and presents reconstruction experiments that we performed on the data.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Roberto Guzmán
    • 1
  • Jean-Bernard Hayet
    • 1
  • Reinhard Klette
    • 2
  1. 1.Centro de Investigación En MatemáticasGuanajuatoMexico
  2. 2.Auckland University of TechnologyAucklandNew Zealand

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