EurekAlert!

New review article highlights CNN-based dynamic obstacle detection for autonomous driving safety

Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems ...
The Next Web

Here’s how deep learning helps computers detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
Semiconductor Engineering

Combining SLAM And CNN For High-Performance Augmented Reality

Robotics and headsets or goggles are the most common hardware devices requiring AR/VR/mixed reality, and AR is coming to mobile phones, tablets, and automobiles as well. For hardware devices to see ...
Design-Reuse

DeepLogCore® – Ultra-Low Power, High-Efficiency Vision Edge AI Object Detection Accelerator (CNN/YOLO Optimized)

DeepLogCore® is a high-performance, low-power CNN Vision AI accelerator IP optimized for real-time object detection on edge devices. It features a s ...