Tristan Brodeur

I'm a researcher in Computer Vision and Robotics, currently working on point cloud processing and object segmentation techniques. I previously conducted research at the University of Nevada, Las Vegas working with Prof. Paul Oh and Dr. S. Sengupta on robotics applications for search and rescue operations. My work focuses on developing novel approaches for 3D data processing and scene understanding. I've developed methods for point cloud segmentation using multi-elevation layer analysis and 2D bounding boxes, which allows for efficient object discrimination without requiring additional computational overhead like normal estimation or complex data structures.

I'm particularly interested in practical applications of robotics and computer vision, having worked on projects ranging from mesh-networked robot systems for disaster relief to assistive robots for navigation in public spaces. My research aims to create robust, computationally efficient solutions that can be deployed in real-world scenarios. I'm passionate about bridging the gap between theoretical computer vision approaches and their practical implementations in robotics systems.