@Inbook{SergioSilva2015,
author="Sergio Silva
and Victor Campmany
and Laura Sellart
and Juan Carlos Moure
and Antoni Espinosa
and David Vazquez
and Antonio Lopez",
chapter="Autonomous GPU-based Driving",
title="Programming and Tunning Massive Parallel Systems",
year="2015",
optkeywords="Autonomous Driving",
optkeywords="ADAS",
optkeywords="CUDA",
abstract="Human factors cause most driving accidents; this is why nowadays is common to hear about autonomous driving as an alternative. Autonomous driving will not only increase safety, but also will develop a system of cooperative self-driving cars that will reduce pollution and congestion. Furthermore, it will provide more freedom to handicapped people, elderly or kids.Autonomous Driving requires perceiving and understanding the vehicle environment (e.g., road, traffic signs, pedestrians, vehicles) using sensors (e.g., cameras, lidars, sonars, and radars), selflocalization (requiring GPS, inertial sensors and visual localization in precise maps), controlling the vehicle and planning the routes. These algorithms require high computation capability, and thanks to NVIDIA GPU acceleration this starts to become feasible.NVIDIA{\textregistered} is developing a new platform for boosting the Autonomous Driving capabilities that is able of managing the vehicle via CAN-Bus: the Drive{\texttrademark} PX. It has 8 ARM cores with dual accelerated Tegra{\textregistered} X1 chips. It has 12 synchronized camera inputs for 360{\textordmasculine} vehicle perception, 4G and Wi-Fi capabilities allowing vehicle communications and GPS and inertial sensors inputs for self-localization.Our research group has been selected for testing Drive{\texttrademark} PX. Accordingly, we are developing a Drive{\texttrademark} PX based autonomous car. Currently, we are porting our previous CPU based algorithms (e.g., Lane Departure Warning, Collision Warning, Automatic Cruise Control, Pedestrian Protection, or Semantic Segmentation) for running in the GPU.",
optnote="ADAS; 600.076; 600.082; 600.085",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2645), last updated on Mon, 15 May 2017 11:18:23 +0200",
file=":http://refbase.cvc.uab.es/files/SCS2015.pdf:PDF"
}