Carlos Guindel

Intelligent Systems Laboratory · Universidad Carlos III de Madrid

Contact

c...@ing.uc3m.es

arXiv / Google Scholar / ORCID / LinkedIn / GitHub

Bio

  • My research focus is on computer vision and artificial intelligence, particularly deep learning techniques, and their application to intelligent and autonomous vehicles. Ph.D received in 2019.

Publications (journals)

BirdNet+: Two-Stage 3D Object Detection in LiDAR Through a Sparsity-Invariant Bird’s Eye View
Alejandro Barrera, Jorge Beltrán, Carlos Guindel, José Antonio Iglesias, Fernando García
IEEE Access, 9, pp. 160299 - 160316, 2021
Paper (Open Access) · Results (KITTI) · Results (nuScenes) · Bibtex

The Tornado Project: An Automated Driving Demonstration in Peri-Urban and Rural Areas
Vicente Milanés, David González, Francisco Navas, Imane Mahtout, Alexandre Armand, Clement Zinoune, Arunkumar Ramaswamy, Farid Bekka, Nievsabel Molina, Emmanuel Battesti, Yvon Kerdoncuff, Carlos Guindel, Jorge Beltran, Irene Cortés, Alejandro Barrera, Fernando García
IEEE Intelligent Transportation Systems Magazine, Early Access, 2021
Paper (IEEEXplore) · Tornado Project press release (Renault) · Video (Youtube) · Bibtex

Dataset Construction from Naturalistic Driving in Roundabouts
Laura García Cuenca, Carlos Guindel, Nourdine Aliane, José María Armingol, Javier Fernández Andrés
Sensors, 20(24), 7151, 2020
Paper (Open Access) · Dataset · Bibtex

Study of the Effect of Exploiting 3D Semantic Segmentation in LiDAR Odometry
Francisco Miguel Moreno, Carlos Guindel, José María Armingol, Fernando García
Applied Sciences 10(16), 5657, 2020
Paper (Open Access) · Bibtex

Traffic Scene Awareness for Intelligent Vehicles using ConvNets and Stereo Vision
Carlos Guindel, David Martín, José María Armingol
Robotics and Autonomous Systems 112, pp. 109–122, 2019
Paper (ScienceDirect) · Paper (postprint) · Bibtex

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), pp. 74–86, 2018
Paper (IEEEXplore) · Code (GitHub) · Bibtex

Conference papers

Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird's Eye View
Alejandro Barrera, Jorge Beltrán, Carlos Guindel, Jose Antonio Iglesias, Fernando García IEEE International Intelligent Transportation Systems Conference (ITSC), 2021
Paper (IEEEXplore) · Paper (arXiv) · Bibtex

Visibility-Aware Adaptative Speed Planner for Human-like Navigation in Roundabouts
Armando Astudillo, Nievsabel Molina, Irene Cortés, Imane Mahtout, David González, Jorge Beltrán, Carlos Guindel, Alejandro Barrera, Mario Álvarez, Clement Zinoune, Vicente Milanés, Fernando García
IEEE International Intelligent Transportation Systems Conference (ITSC), 2021
Paper (IEEEXplore) · Bibtex

Towards Autonomous Driving: a Multi-Modal 360° Perception Proposal
Jorge Beltrán, Carlos Guindel, Irene Cortés, Alejandro Barrera, Armando Astudillo, Jesús Urdiales, Mario Álvarez, Farid Bekka, Vicente Milanés, Fernando García
IEEE Intelligent Transportation Systems Conference (ITSC), 2020
Paper (IEEEXplore) · Paper (arXiv) · Bibtex

BirdNet+: End-to-End 3D Object Detection in LiDAR Bird’s Eye View
Alejandro Barrera, Carlos Guindel, Jorge Beltrán, Fernando García
IEEE Intelligent Transportation Systems Conference (ITSC), 2020
Paper (IEEEXplore) · Paper (arXiv) · Bibtex
Check also the extended version published in the IEEE Access

A Method for Synthetic LiDAR Generation to Create Annotated Datasets for Autonomous Vehicles Perception
Jorge Beltrán, Irene Cortés, Alejandro Barrera, Jesús Urdiales, Carlos Guindel, Fernando García, Arturo de la Escalera
IEEE Intelligent Transportation Systems Conference (ITSC), 2019
Paper (IEEEXplore) · Bibtex

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: 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

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

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 (postprint) · Slides · Bibtex
Check also the extended version published in the RAS journal

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

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 (postprint) · Slides · KITTI train/val split · Code (GitHub) · Results (KITTI) · Bibtex
Check also the extended version published in the ITS Magazine
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 (postprint) · 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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