This video presents a method for semantic SLAM that accounts for potential errors in object detection, providing improved robustness. Our paper can be found at: https://arxiv.org/abs/1909.11213
Be sure to stay tuned at our project page on Github for updates: https://github.com/MarineRoboticsGroup/mixtures_semantic_slam
Kevin Doherty, David Baxter*, Edward Schneeweiss*, and John Leonard. "Probabilistic Data Association via Mixture Models for Robust Semantic SLAM," IEEE International Conference on Robotics and Automation 2020. *Equal Contributors.