Cloud Incubator Car: A Reliable Platform for Autonomous Driving
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AuthorBorraz Morón, Raúl; Navarro Lorente, Pedro Javier; Fernández, Carlos; Alcover Garau, Pedro María
Research GroupDivisión de Sistemas en Ingeniería Electrónica (DSIE)
Knowledge AreaIngeniería de Sistemas y Automática
SponsorsThis work was partially supported by ViSelTR (ref. TIN2012-39279), DGT (ref. SPIP2017-02286) and UPCA13-2E-1929 Spanish Government projects, and the “Research Programme for Groups of Scientific Excellence in the Region of Murcia” of the Seneca Foundation (Agency for Science and Technology in the Region of Murcia-19895/GERM/15). We would like to thank Leanne Rebecca Miller for the edition of the manuscript.
Bibliographic CitationBorraz, R.; Navarro, P.J.; Fernández, C.; Alcover, P.M. Cloud Incubator Car: A Reliable Platform for Autonomous Driving. Appl. Sci. 2018, 8, 303.
Global and local path planning
t appears clear that the future of road transport is going through enormous changes (intelligent transport systems), the main one being the Intelligent Vehicle (IV). Automated driving requires a huge research effort in multiple technological areas: sensing, control, and driving algorithms. We present a comprehensible and reliable platform for autonomous driving technology development as well as for testing purposes, developed in the Intelligent Vehicles Lab at the Technical University of Cartagena. We propose an open and modular architecture capable of easily integrating a wide variety of sensors and actuators which can be used for testing algorithms and control strategies. As a proof of concept, this paper presents a reliable and complete navigation application for a commercial vehicle (Renault Twizy). It comprises a complete perception system (2D LIDAR, 3D HD LIDAR, ToF cameras, Real-Time Kinematic (RTK) unit, Inertial Measurement Unit (IMU)), an automation of the driving elements of ...
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