This work is licensed under the Creative Commons Attribution 4.0 International License.
Wei, Y., Zhang, H., Zhong, H., et al. (2022). Indoor Environment Mapping of Mobile Robot Based on Efficient DSM-PF Method. IEEE Sensors Journal, 22.Search in Google Scholar
Trybala, P., John, A., Kohler, C. (2022). Towards a mine 3D dense mapping mobile robot: A system design and preliminary accuracy evaluation. Markscheidewesen, (1), 129.Search in Google Scholar
Vdisch, N., Cattaneo, D., Burgard, W., et al. (2022). Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning.Search in Google Scholar
Mueggler, E., Rebecq, H., Gallego, G., et al. (2017). The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM. The International journal of robotics research, 36(2), 142-149.Search in Google Scholar
Parker, L. E. (2022). Handbook of Robotics Chapter 40: Multiple Mobile Robot Systems.Search in Google Scholar
Smith, M. J., Srivastava, A. (2022). A Model Based Approach to Statistical, Multi-Modal Sensor Fusion.Search in Google Scholar
Wang, S., Gou, G., Sui, H., et al. (2022) CDSFusion: Dense Semantic SLAM for Indoor Environment Using CPU Computing. Remote Sensing, 14.Search in Google Scholar
Caron, F., Duflos, E., Pomorski, D., et al. (2017). GPS/IMU Data Fusion using multisensor Kalman filtering: Introduction of contextual aspects. Information Fusion, 7(2), 221-230.Search in Google Scholar
Xu, Z., Xiao, S. (2021). Spatial semantic graph enhanced monocular SLAM System. Computer Animation and Virtual Worlds, (4).Search in Google Scholar
Wen, S., Lv, X., Lam, H. K., et al. (2021) Probability Dueling DQN active visual SLAM for autonomous navigation in indoor environment. Industrial Robot, ahead-of-print (ahead-of-print).Search in Google Scholar
Ding, T., Zhang, Y., Ma, G., et al. (2022). Trajectory tracking of redundantly actuated mobile robot by MPC velocity control under steering strategy constraint Mechatronics, 84:102779-.Search in Google Scholar
Lazkano, E., Astigarraga, A., Sierra, B. (2022). On the Adequateness of Emergency Exit Panel and Corridor Identification as Pilot Scheme for a Mobile Robot.Search in Google Scholar
Rebecq, Henri, Mueggler, et al. (2017). The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM. International Journal of Robotics Research.Search in Google Scholar
Wang, B., Nersesov, S., (2022). Ashrafiuon H. Formation Regulation and Tracking Control for Nonholonomic Mobile Robot Networks Using Polar Coordinates. IEEE Control Systems Letters, (6-).Search in Google Scholar
Evita, M., Mustikawati, S. T., Djamal, M. (2022). Design of Real-Time Object Detection in Mobile Robot for Volcano Monitoring Application. IOP Publishing Ltd.Search in Google Scholar
Cullen, J., Rasheed, A., Shamma, A. A., et al. (2022). Multi Sensor Fusion for On Line Monitoring of the Quality of Spot Welding in Automotive Industry.Search in Google Scholar
Gao, N., & Fu, L. (2022). Study on the fusion of oil painting art and digital media based on a visual sensor. Journal of Sensors.Search in Google Scholar
Mur-Artal, R., JD, Tardós. (2017). ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras. IEEE Transactions on Robotics.Search in Google Scholar
Xiang, G., Tao, Z. (2017). Unsupervised learning to detect loops using deep neural networks for visual SLAM system. Autonomous Robots.Search in Google Scholar