Authors: Sunghwan Yoo, Yeongjeong Jeong, Maryam Jameela, Gunho Sohn Department of Earth and Space Science and Engineering, York University Toronto, ON M3J 1P3 Canada CVPR PCV Workshop 2023 Abstract We proposed EyeNet, a novel semantic segmentation network for point clouds…
Authors: Maryam Jameela, Gunho Sohn, Sunghwan Yon Department of Earth and Space Science and Engineering, York University Toronto, ON M3J 1P3 Canada The 3DMMAI pipeline includes several stages of post-data acquisition processing, and the significant step is the semantic segmentation…
The next natural step of the pipeline for scene understanding and classification is semantic segmentation, which labels every point and pixel in the point cloud and image respectively of their enclosing object or region. There are multiple existing deep neural…
The 3DMMAI pipeline includes several stages of post data acquisition processing, and the first significant step is noise filtering. LiDAR (Light Detection and Ranging) mounted with static and mobile vehicles has been rapidly adopted as a primary sensor for mapping…
3D Mobile Mapping AI (3DMMAI) Project 3D Mobile Mapping AI Project is a collaborative large-scale research program supported by Teledyne Optec Inc and the NSERC Collaborative Research Development (CRD) Program. A total of $2.6M cash and in-kind contribution will be…
This article was published in YFile – York University’s News ( ) It is no secret that technology is disrupting many industries – from healthcare to customer service and everything in between. Rail transport is no stranger to these…
We are very pleased to announce that our lab will participate in Ontario Train Autonomy Collaboration (OnTRAC) Project (April 2019 – March 2021) through the OCE/AVIN Stream 2 Program. The OnTRAC project is to develop and demonstrate a prototype system of a high-performance Obstacle…