Idioma:

Towards Ubiquitous Autonomous Driving: The CCSAD Dataset

Guzmán, Roberto ; Hayet, Jean-Bernard ; Klette, Reinhard

Computer Analysis of Images and Patterns, 2015, Vol.9256, p.582-593 [Periódico revisado por pares]

Texto completo disponível

Citações Citado por

Título:
Towards Ubiquitous Autonomous Driving: The CCSAD Dataset
Autor: Guzmán, Roberto ; Hayet, Jean-Bernard ; Klette, Reinhard
Assuntos: Artificial intelligence ; Automate Vehicle Steering ; Autonomous Driving ; Autonomous Vehicle ; Information retrieval ; Stereo Match ; Stereo Pair ; User interface design & usability
É parte de: Computer Analysis of Images and Patterns, 2015, Vol.9256, p.582-593
Descrição: 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.
Títulos relacionados: Lecture Notes in Computer Science
Editor: Switzerland: Springer International Publishing AG
Idioma: Inglês

Voltar para lista de resultados