Ariel Vazquez

As a 3D Computer Vision Engineer at VITOM Inc. (Tokyo), I build handheld and drone-based LiDAR 3D-scanning products for construction and surveying — transforming raw spatial data from LiDAR, IMU, and RTK-GNSS into accurate, actionable 3D representations.

🔹 Key Areas of Impact:

SLAM & Navigation: Design and implementation of SLAM systems for complex, dynamic, and GPS-degraded environments (indo

Independent R&D practice in AI and Computer Vision. Built hardware-software prototypes for U.S.-based collaborators, with a focus on the AgTech sector.

Key areas: object detection and image analysis (Python, OpenCV) · AgTech tools with predictive models for crop monitoring · electronics + custom software integration for end-to-end systems.

Research and development of advanced computer vision and photogrammetry algorithms applied to aerial robotics (UAVs) and the AgTech sector.

🔹 Key Areas of Impact & Technical Achievements:

3D Reconstruction & Photogrammetry: Designed and implemented a proprietary methodology for high-precision 3D reconstruction of agricultural terrains, significantly reducing spatial estimation errors in the Z-ax

Ph.D. in Computer Science
Dissertation: "3D terrain reconstruction for agriculture" (Reconstrucción 3D de terrenos para agrocultivo)

Focused on the intersection of Computer Vision, Photogrammetry, and AgTech. Conducted advanced research on spatial perception, developing novel algorithms for point cloud processing and high-precision 3D modeling using aerial robotics (UAVs).

Ph.D. in Computer Science with a dissertation on 3D terrain reconstruction for agriculture. Focused on computer vision, photogrammetry, and AgTech, developing novel algorithms for point cloud processing and high-precision 3D modeling using aerial robotics.

Thesis: "Navigation with association for an exploration robot with vision and inertial measurement unit (IMU)"

Specialized in autonomous navigation and sensor fusion, laying the groundwork for advanced SLAM architectures.

🔹 Key Highlights:

Visual-Inertial Odometry (VIO): Developed an autonomous navigation system for exploration robots by integrating computer vision algorithms with inertial sens

Master of Science in Computer Science with a thesis on navigation with association for an exploration robot using vision and IMU. Specialized in autonomous navigation and sensor fusion, laying groundwork for advanced SLAM architectures.

Bachelor of Engineering in Mechatronics

Established a strong foundational expertise in the integration of mechanical systems, electronics, and control engineering. This background provided the essential hardware-level understanding (sensors, actuators, kinematics) required for my subsequent specialization in advanced robotics, computer vision, and autonomous navigation.

🔹 Core focus areas: Robot

Bachelor of Engineering in Mechatronics, establishing foundational expertise in mechanical systems, electronics, and control engineering. Provided essential hardware-level understanding for subsequent specialization in robotics and computer vision.