Intelligent unmanned systems have important applications, such as pesticide-spraying in
agriculture, robot-based warehouse management systems, and missile-firing drones. The …

Natural disasters such as severe flooding can cause catastrophic losses to properties and
human lives. Constant real-time water level monitoring prior to a flooding event can …

Surgeons need surgical navigation and intraoperative imaging for accurate surgery.
However, current clinical surgical navigation systems have many drawbacks, including the …

This paper presents a single-chip, high-performance, and energy-efficient stereo vision
depth-estimation processor for micro aerial vehicles (MAVs). The proposed processor …

In room-clearing tasks, SWAT team members suffer from a lack of initial environmental
information: knowledge about what is in a room and what relevance or threat level it …

Positioning and autonomous landing are key technologies for implementing autonomous
flight missions across various fields in unmanned aerial vehicle (UAV) systems. This …

We present a system that uses deep learning and visual SLAM for autonomous flight in
indoor environments. In this spirit, we use a state-of-the-art CNN architecture to obtain depth …

The paper presents a set of soŌware tools dedicated to support mobile robot navigaƟon.
The tools are used to process an image from a depth sensor. They are implemented in ROS …

This paper proposes a pedestrian detection pipeline consisting of an Intel RealSense R200
camera used for input to a Single Shot Multibox Detector based neural network for …

The current robots follow clear, repetitive and logical instructions, but generally, they have
problems in managing unstructured environments and reacting dynamically to these. Thus …