Non-destructive Infield Quality Estimation of Strawberries using Deep Architectures

Strawberries have a short shelf-life time and thus need to be harvested at the right time to reduce waste. To this end, information about quality attributes is useful. Recently, many computer vision methods have been proposed. Most literature analyzes postharvest, which means that strawberries can only be analyzed after harvesting. As a result,...

Obstacle Avoidance and Trajectory Optimization for an Autonomous Vessel Utilizing MILP Path Planning, Computer Vision based Perception and Feedback Control

The framework of an autonomous vessel is typically composed of three distinct and independent blocks known as the Guidance, Navigation and Control (GNC) system. This paper presents a combination of advanced complementary techniques in the different GNC subsystems to improve upon the current common practices/state of the art in obstacle...

AI-powered smartglasses for visually impaired people to achieve greater independence and social integration: Design of a concept for visually impaired people that uses human assistance substitution when artificial intelligence is not reliable

Artificial Intelligence can extend human frontiers and complement our capabilities. This project presents AI-powered smart glasses that empower visually impaired people to achieve greater independence and social integration. Since AI is a developing discipline, we enhance reliability by providing the opportunity for reciprocal learning between...

Binary Neural Networks for Object Detection

In the past few years, convolutional neural networks (CNNs) have been widely utilized and shown state-of-the-art performances on computer vision tasks. However, CNN based approaches usually require a large amount of storage, run-time memory, as well as computation power in both training and inference time, which are usually used on GPU based...