Vision based real time obstacle detection and human motion tracking system for movement of indoor autonomous mobile robot

During the collection of goods in the warehouse, the person performing the work is expectedto collect both the correct goods and do it quickly. That's why he needs to carry the vehiclehe collects and follow up the orders correctly. As in this project, systems such as AutomatedGuided Vehicle and Autonomous Mobile Robot prevent time and power consuming taskssuch as pushing and pulling. The aim of this thesis is to develop software and hardware thatwill enable people collecting goods to follow their vehicles without pushing and pulling.This system will work as a fully embedded system with processor and cards to be positionedon the vehicle. The system, which will be formed with hardware based on vision basedsensors and algorithms, will be able to follow the person in front of it by processing andunderstanding the data received and to continue the movement without accident by detectingobstacles. RGB camera and LIDAR sensor data are processed by the processing board andable to detect obstacle and tracking the identified person.