Object Detection with Deep Learning on Drive PX2

Many successful deep learning networks for object detection have been proposed in recent years, but direct comparison is difficult due to different resolutions, training validation data, and frameworks used to train these networks. In particular, we use DRIVE PX2 as a reference computing platform, which is manufactured by NVIDIA Corporation for development of autonomous vehicles and evaluate the performance of methods of autonomous driving on ARM-based embedded processing cores and Tegra-based embedded graphics processing units (GPUs).