Object Detection and Tracking using NVIDIA JETSON AGX XAVIER
Budget: $30 – $250 USD
Hello everyone
In this project, it is aimed to detect and track targets from unmanned aerial vehicles. In this project, it is planned to use any of the current yolo model types (yolov4,yolox,yolor etc.) for target detection. In target tracking, the use of deep sort algorithm or RNN algorithm is considered. It is aimed to carry out optimization studies by applying tensorrt in algorithms. In the dataset, the visdrone dataset was selected. As the device, nvidia jetson agx xavier was chosen. I have this device. Project content can be diversified together with the project developer. Therefore, those who have written a project, thesis and used this device before are preferred. There is sufficient time to complete the project.
In this project, it is aimed to detect and track targets from unmanned aerial vehicles. In this project, it is planned to use any of the current yolo model types (yolov4,yolox,yolor etc.) for target detection. In target tracking, the use of deep sort algorithm or RNN algorithm is considered. It is aimed to carry out optimization studies by applying tensorrt in algorithms. In the dataset, the visdrone dataset was selected. As the device, nvidia jetson agx xavier was chosen. I have this device. Project content can be diversified together with the project developer. Therefore, those who have written a project, thesis and used this device before are preferred. There is sufficient time to complete the project.