TY - GEN
T1 - GPU-Accelerated real-Time stixel computation
AU - Hernandez-Juarez, Daniel
AU - Espinosa, Antonio
AU - Vázquez, David
AU - López, Antonio M.
AU - Moure Lopez, Juan Carlos
PY - 2017/5/11
Y1 - 2017/5/11
N2 - The Stixel World is a medium-level, compact representation of road scenes that abstracts millions of disparity pixels into hundreds or thousands of stixels. The goal of this work is to implement and evaluate a complete multistixel estimation pipeline on an embedded, energy-efficient, GPU-Accelerated device. This work presents a full GPUaccelerated implementation of stixel estimation that produces reliable results at 26 frames per second (real-Time) on the Tegra X1 for disparity images of 1024×440 pixels and stixel widths of 5 pixels, and achieves more than 400 frames per second on a high-end Titan X GPU card.
AB - The Stixel World is a medium-level, compact representation of road scenes that abstracts millions of disparity pixels into hundreds or thousands of stixels. The goal of this work is to implement and evaluate a complete multistixel estimation pipeline on an embedded, energy-efficient, GPU-Accelerated device. This work presents a full GPUaccelerated implementation of stixel estimation that produces reliable results at 26 frames per second (real-Time) on the Tegra X1 for disparity images of 1024×440 pixels and stixel widths of 5 pixels, and achieves more than 400 frames per second on a high-end Titan X GPU card.
UR - http://www.scopus.com/inward/record.url?scp=85020187318&partnerID=8YFLogxK
U2 - 10.1109/WACV.2017.122
DO - 10.1109/WACV.2017.122
M3 - Otra contribución
AN - SCOPUS:85020187318
T3 - Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision, WACV 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -