Most modern consumer-grade cameras are often equipped with a rolling shutter
mechanism, which is becoming increasingly important in computer vision, robotics and …

Neuromorphic electronics have great potential in the emulation of the sensory, cognitive, self-
learning, and actuating functions of robots. While typically implemented in rigid silicon …

Realizing autonomy is a hot research topic for automatic vehicles in recent years. For a long
time, most of the efforts to this goal concentrate on understanding the scenes surrounding …

Binocular endoscopy is gradually becoming the future of minimally invasive surgery (MIS)
thanks to the development of stereo vision. However, some problems still exist, such as the …

The term visual SLAM defines the problem of build a map of an environment and perform
location, simultaneously. In the augmented reality experience, we can apply SLAM …

Research in augmented and virtual reality in congregation with the Internet of Things has
opened many avenues in diagnosing and treating neurological disorders. Augmented reality …

Purpose Visual simultaneous localization and mapping (SLAM) has limitations such as
sensitivity to lighting changes and lower measurement accuracy. The effective fusion of …

In order to improve the accuracy of the data fusion filter, a tightly-coupled ultra wide band
(UWB)/inertial navigation system (INS)-integrated scheme for indoor human navigation will …

Inspired by rodents' free navigation through a specific space, RatSLAM mimics the function
of the rat hippocampus to establish an environmental model within which the agent localizes …

Aiming at the real intestinal environment, the commonly used feature extraction algorithms
are compared and analyzed. The performances of SIFT, BRISK, ORB and FREAK are …