David Pascual-Hernández

PhD Student and Researcher @ URJC | AI | Computer Vision | Autonomous Driving

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Hi there! :wave: I’m a computer vision researcher dedicated to advancing perception for autonomous driving in off-road environments. :oncoming_automobile:

Throughout my career, I’ve been hands-on with every stage of vision-based system development, from image capture to deployment :camera:. This includes experience leading an R&D team at SEDDI, a startup specialized in textile material digitization, where I focused on bridging the gap between AI :robot: and real-world physical applications.

Currently, I am pursuing my PhD :student: and working as a researcher at Rey Juan Carlos University. My research focuses on perception for off-road autonomous driving, specializing in RGB, LiDAR, and fusion-based semantic segmentation for scene understanding in unstructured environments.

Outside of the lab, you’ll often find me birdwatching! :owl:

news

May 07, 2026 :scroll: My recent work Cross-dataset Evaluation of Visual Semantic Segmentation Models for Off-road Autonomous Driving is now published at Expert Systems with Applications!
Nov 04, 2025 :microphone: Workshop on RoboticsAcademy+Unibotics at ROSCon ES 2025 in Barcelona, Spain.
Oct 23, 2025 :microphone: Representing JdeRobot at the GSoC 2025 Mentor Summit in Munich, Germany.
Oct 11, 2024 :mortar_board: My PhD journey begins.
Oct 08, 2024 :test_tube: Joined URJC as a research associate for GAIA project.

selected publications

  1. ESWA
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    Cross-Dataset Evaluation of Visual Semantic Segmentation Models for Off-Road Autonomous Driving
    David Pascual-Hernández, Sergio Paniego, Roberto Calvo-Palomino, and 2 more authors
    Expert Systems with Applications, 2026

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