ORB-SLAM2 combined with yolov3 object detection, considering the relationship among objects
Semantic localization and mapping (SLAM), monocular depth prediction, and odometry techniques using deep CNNs
Semantic-Segmantation-based-Dynamic-Robust-SLAM
Fusion imu,gps,vehicle data and intermediate result of vision. Compare EKF & ESKF in python.
The source code of my Final Year Project - Monocular FastSLAM using separated vision system and multiple SLAM solutions. To use this system, the user may want to unzip FastSLAM-solutions.zip first, putting it under the same path as other files in this repository. Then the program can be executed by clicking frontend and following the instructions shown in Section 4.4 of the final dissertation.
Semantic Mapping using Surfel Mapping and Semantic Segmentation (Chen et al IROS 2019)