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Unai Alegre

@unaialegre

Research Engineer at Raven / CNH Industrial developing perception and edge AI for self-driving agricultural vehicles.

At Raven / CNH Industrial, I develop computer vision and deep learning algorithms for perception and autonomous navigation in self-driving agricultural vehicles. I design and optimize edge AI systems using LiDAR, RGB, and infrared sensor data.

At the University of Twente / Toyota Motor Europe, I conducted research on hardware acceleration for deep learning and computer vision in autonomous driving. Earlier, at Orona E. Innovation Centre, I developed validation and verification frameworks for lift control systems.

Experience

Work history, roles, and key accomplishments

Current

Senior Research Engineer

Current

Raven / CNH Industrial

Jan 2022 - Present (4 years 9 months)

Develops computer vision and deep learning algorithms for perception and autonomous navigation in self-driving agricultural vehicles. Designs, evaluates, and optimizes AI systems for edge-computing deployment using LiDAR, RGB, and infrared sensor data.

Computer Vision Deep Learning Autonomous Navigation Edge AI LiDAR RGB Camera Infrared Sensors Sensor Fusion PyTorch TensorRT Python C++Open3D PCL Linux AWS Git

Postdoctoral Researcher

University of Twente / Toyota Motor Europe

Jan 2019 - Dec 2022 (3 years 11 months)

Conducted research on hardware acceleration frameworks for deep learning and computer vision in autonomous driving projects. Developed machine learning and computer vision workflows for perception-oriented autonomous vehicle research applications.

Deep Learning Computer Vision Autonomous Driving Hardware Acceleration Python PyTorch NumPy Matplotlib Slurm Git High Performance Computing

Research Internship

Orona E. Innovation Centre

Jan 2012 - Dec 2013 (1 year 11 months)

Developed validation and verification frameworks supporting the software development life cycle of lift control systems. Worked on embedded systems research and engineering using C++, Java, and C.

C++Java C Embedded Systems Validation Verification