Victor Vaquero

Orcid: 0000-0003-2516-2551

According to our database1, Victor Vaquero authored at least 13 papers between 2015 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2021
Dual-Branch CNNs for Vehicle Detection and Tracking on LiDAR Data.
IEEE Trans. Intell. Transp. Syst., 2021

Real-time safety assessment of trajectories for autonomous driving.
CoRR, 2021

2020
Lidar-based scene understanding for autonomous driving using deep learning.
PhD thesis, 2020

2019
Robust and Real-Time Detection and Tracking of Moving Objects with Minimum 2D LiDAR Information to Advance Autonomous Cargo Handling in Ports.
Sensors, 2019

Improving Map Re-localization with Deep 'Movable' Objects Segmentation on 3D LiDAR Point Clouds.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

FuseMODNet: Real-Time Camera and LiDAR Based Moving Object Detection for Robust Low-Light Autonomous Driving.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Deep Lidar CNN to Understand the Dynamics of Moving Vehicles.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Hallucinating Dense Optical Flow from Sparse Lidar for Autonomous Vehicles.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Low Resolution Lidar-Based Multi-Object Tracking for Driving Applications.
Proceedings of the ROBOT 2017: Third Iberian Robotics Conference, 2017

Joint coarse-and-fine reasoning for deep optical flow.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios.
Proceedings of the 2017 European Conference on Mobile Robots, 2017

2015
Real Time People Detection Combining Appearance and Depth Image Spaces Using Boosted Random Ferns.
Proceedings of the Robot 2015: Second Iberian Robotics Conference, 2015

Low Cost, Robust and Real Time System for Detecting and Tracking Moving Objects to Automate Cargo Handling in Port Terminals.
Proceedings of the Robot 2015: Second Iberian Robotics Conference, 2015


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