CV0063: Internship - Visual Simultaneous Localization and Mapping

Mitsubishi - Cambridge, MA

Full-time - Intern

Cambridge, MA

Transportation Equipment Manufacturing

About the position

MERL is seeking a self-motivated graduate student intern to work on Visual Simultaneous Localization and Mapping (V-SLAM). The intern will engage in various topics related to V-SLAM, including camera pose estimation, feature detection and matching, and visual-LiDAR data fusion. The role involves collaboration with researchers to develop and implement algorithms, conduct experiments, and prepare findings for submission to a top-tier conference.

Responsibilities

• Collaborate with MERL researchers to derive and implement new algorithms for V-SLAM.
• Conduct experiments related to V-SLAM.
• Report findings and prepare submissions for top-tier conferences.

Requirements

• Strong background in 3D computer vision.
• Good programming skills in C/C++ and/or Python.
• Published at least one paper in a top-tier computer vision, machine learning, or robotics venue.

Nice-to-haves

• Experience with pose-graph optimization.
• Knowledge of loop closure detection.
• Familiarity with image-based camera relocalization.

Benefits

• Flexible duration of the internship.
• Flexible start date.