We have ported the PicoSoC using the PicoRV32 of 32-bit RISC-V to the Tang Primer, a low-cost FPGA board from Sipeed.
We installed Darknet, a neural network framework, on Jetson Nano to create an environment that runs the object detection model YOLOv3.
CARLA is an open-source simulator for autonomous driving research. In this article, we will introduce imitation learning training for CARLA.
In this report, we propose a CNN called SAR ATR with verification support (SAVERS), which performs region-wise (i.e. coarse) segmentation and pixel-wise segmentation. SAVERS discriminates between target and non-target, and classifies multiple target classes and non-target class by coarse segmentation.
In this report, we propose a novel CNN for end-to-end ATR from SAR imagery. The CNN named VersNet inputs a SAR image of arbitrary sizes with multiple classes and multiple targets, and outputs a SAR ATR image representing the position, class, and pose of each detected target.
This report deals with translation invariance of convolutional neural networks (CNNs) for automatic target recognition (ATR) from synthetic aperture radar (SAR) imagery.