Pancham, ATlale, NBright, G2012-01-102012-01-102011-11Pancham, A, Tlale, N and Bright, G. 2011. Literature review of SLAM and DATMO. 4th Robotics and Mechatronics Conference of South Africa (RobMech 2011), CSIR International Conference Centre, Pretoria, 23-25 November 2011http://hdl.handle.net/10204/54574th Robotics and Mechatronics Conference of South Africa (RobMech 2011), CSIR International Conference Centre, Pretoria, 23-25 November 2011Simultaneous Localization And Mapping (SLAM) allows a mobile robot to be completely autonomous in an unknown environment and perform its tasks. The robot is able to create a map of its environment and at the same time locate itself. Real world environments however, are characterized by moving objects such as people, cars, robots and mobile furniture. In order for the robot to interact safely with these moving objects the robot would have to perform Detection And Tracking Of Moving Objects (DATMO). Moving object detection and tracking would eliminate errors in maps, resulting in a reliable map that would enable the robot to localize itself in the environment and execute its tasks. This paper provides a literature review of the techniques and sensors employed to allow a mobile robot to perform SLAM and DATMO.enMobile robotsKinectSimultaneous Localization And MappingSLAMDetection And Tracking Of Moving ObjectsDATMODetectingTrackingRoboticsRobotsMechatronicsRobMech 2011Conference PresentationPancham, A., Tlale, N., & Bright, G. (2011). Literature review of SLAM and DATMO. RobMech 2011. http://hdl.handle.net/10204/5457Pancham, A, N Tlale, and G Bright. "Literature review of SLAM and DATMO." (2011): http://hdl.handle.net/10204/5457Pancham A, Tlale N, Bright G, Literature review of SLAM and DATMO; RobMech 2011; 2011. http://hdl.handle.net/10204/5457 .TY - Conference Presentation AU - Pancham, A AU - Tlale, N AU - Bright, G AB - Simultaneous Localization And Mapping (SLAM) allows a mobile robot to be completely autonomous in an unknown environment and perform its tasks. The robot is able to create a map of its environment and at the same time locate itself. Real world environments however, are characterized by moving objects such as people, cars, robots and mobile furniture. In order for the robot to interact safely with these moving objects the robot would have to perform Detection And Tracking Of Moving Objects (DATMO). Moving object detection and tracking would eliminate errors in maps, resulting in a reliable map that would enable the robot to localize itself in the environment and execute its tasks. This paper provides a literature review of the techniques and sensors employed to allow a mobile robot to perform SLAM and DATMO. DA - 2011-11 DB - ResearchSpace DP - CSIR KW - Mobile robots KW - Kinect KW - Simultaneous Localization And Mapping KW - SLAM KW - Detection And Tracking Of Moving Objects KW - DATMO KW - Detecting KW - Tracking KW - Robotics KW - Robots KW - Mechatronics KW - RobMech 2011 LK - https://researchspace.csir.co.za PY - 2011 T1 - Literature review of SLAM and DATMO TI - Literature review of SLAM and DATMO UR - http://hdl.handle.net/10204/5457 ER -