Towards Ubiquitous Autonomous Driving: The CCSAD Dataset

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


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.


Stereo Match Autonomous Vehicle Automate Vehicle Steering Stereo Pair Autonomous Driving 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

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

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