Carlos Guindel

Intelligent Systems Laboratory · Universidad Carlos III de Madrid

Contact

c...@ing.uc3m.es

arXiv / Google Scholar / LinkedIn / GitHub

Bio

Publications (journals)

Magazine thumbnail

Fast Joint Object Detection and Viewpoint Estimation for Traffic Scene Understanding
Carlos Guindel, David Martín, José María Armingol
IEEE Intelligent Transportation Systems Magazine 10(4), 2018
Paper (IEEEXplore) · Bibtex

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Traffic Scene Awareness for Intelligent Vehicles using ConvNets and Stereo Vision
Carlos Guindel, David Martín, José María Armingol
Robotics and Autonomous Systems 112, 2019
Paper (ScienceDirect) · Bibtex

Conference papers

ICVES 18 thumbnail

Analysis of the Influence of Training Data on Road User Detection
Carlos Guindel, David Martín, José María Armingol, Christoph Stiller
IEEE International Conference on Vehicular Electronics and Safety (ICVES), 2018
Paper (IEEEXplore) · Slides · Video (Youtube) · Bibtex

BirdNet thumbnail

BirdNet: A 3D Object Detection Framework from LiDAR Information
Jorge Beltrán, Carlos Guindel, Francisco M. Moreno, Daniel Cruzado, Fernando García, Arturo de la Escalera International Conference on Intelligent Transportation Systems (ITSC), 2018
Paper (IEEEXplore) · Video (Youtube) · Bibtex

ITSC 18 TL thumbnail

A Deep Analysis of the Existing Datasets for Traffic Light State Recognition
Carlos Fernández, Carlos Guindel, Niels-Ole Salscheider, Christoph Stiller
International Conference on Intelligent Transportation Systems (ITSC), 2018
Paper (IEEEXplore) · Bibtex

ROBOT thumbnail

Modeling Traffic Scenes for Intelligent Vehicles Using CNN-Based Detection and Orientation Estimation
Carlos Guindel, David Martín, José María Armingol
ROBOT 2017: Third Iberian Robotics Conference, 2017
Paper (AISC) · Paper (preprint) · Slides · Bibtex
Check also the extended version published in the RAS journal

ITSC thumbnail

Automatic Extrinsic Calibration for Lidar-Stereo Vehicle Sensor Setups
Carlos Guindel, Jorge Beltrán, David Martín, Fernando García
IEEE International Conference on Intelligent Transportation Systems (ITSC), 2017
Paper (IEEEXplore) · Paper (arXiv) · Slides · ROS Package · Code (Github) · Video (Youtube) · Bibtex

ICVES thumbnail Joint Object Detection and Viewpoint Estimation using CNN Features
Carlos Guindel, David Martín, José María Armingol
IEEE International Conference on Vehicular Electronics and Safety (ICVES), 2017
Paper (IEEEXplore) · Paper (preprint) · Slides · KITTI train/val split · Code (Github) · Results (KITTI) · Bibtex
Check also the extended version published in the ITS Magazine
Dummy Image Stereo Vision-Based Convolutional Networks for Object Detection in Driving Environments
Carlos Guindel, David Martín, José María Armingol
International Conference on Computer Aided Systems Theory (EUROCAST), 2017
Ext. Abstract (p. 288-289) · Paper (LNCS) · Paper (preprint) · Slides · Code (Github) · Video (Youtube) · Bibtex

Other projects

Dummy Image Entry for the IEEE ITS DM Hackathon (2017)
First Intelligent Transportation Systems Data Mining Hackathon
Finished in 6th place out of 23 participants.
+info · Competition paper (ITSM - IEEEXplore) · Code
Dummy Image Entry for the Udacity-Didi Self-Driving Car Challenge (2017)
Part of the Intelligent Systems Lab (LSI) - UC3M team
Finished in 15th place out of 29 teams at the final round.
+info · Code · Video (Youtube)
Our solution subsequently led to BirdNet

More resources

  • Webinar for the Spanish Committee of Automation (CEA) about autonomous vehicles and perception, in Spanish (2019): slides / video
  • My presentations for the LSI annual PhD workshops:
    • Advanced Driver Assustance Systems for Road Environments (2015): slides / video
    • Deep Learning Applied to Driving Environments (2016): slides
    • Joint Object Detection and Viewpoint Estimation using CNN Features (2017): slides
  • A preliminar study about the state of my research topics that I made at the beginning of my Ph.D (2015): slides
  • Embedded Linux course (in Spanish) taught by me in 2014 using an ODROID X2: slides / exercises
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