Embedded real-time stereo estimation via Semi-Global Matching on the GPU

1 code implementation • 13 Oct 2016 • Daniel Hernandez-Juarez, Alejandro Chacón, Antonio Espinosa, David Vázquez, Juan Carlos Moure, Antonio Manuel López

Dense, robust and real-time computation of depth information from stereo-camera systems is a computationally demanding requirement for robotics, advanced driver assistance systems (ADAS) and autonomous vehicles.

Autonomous Vehicles Disparity Estimation

GPU-accelerated real-time stixel computation

1 code implementation • 13 Oct 2016 • Daniel Hernandez-Juarez, Antonio Espinosa, David Vázquez, Antonio Manuel López, Juan Carlos Moure

The Stixel World is a medium-level, compact representation of road scenes that abstracts millions of disparity pixels into hundreds or thousands of stixels.

GPU-based Pedestrian Detection for Autonomous Driving

no code implementations • 5 Nov 2016 • Victor Campmany, Sergio Silva, Antonio Espinosa, Juan Carlos Moure, David Vázquez, Antonio M. López

We propose a real-time pedestrian detection system for the embedded Nvidia Tegra X1 GPU-CPU hybrid platform.

Autonomous Driving General Classification +1

OpenCL-based FPGA Accelerator for Semi-Global Approximate String Matching Using Diagonal Bit-Vectors

1 code implementation • International Conference on Field-Programmable Logic and Applications (FPL) 2021 • David Castells-Rufas, Santiago Marco-Sola, Quim Aguado-Puig, Antonio Espinosa-Morales, Juan Carlos Moure, Lluc Alvarez, Miquel Moretó

An FPGA accelerator for the computation of the semi-global Levenshtein distance between a pattern and a reference text is presented.