Safety is the most important requirement for autonomous vehicles; hence, the ultimate
challenge of designing an edge computing ecosystem for autonomous vehicles is to deliver …

In recent years, unmanned aerial vehicles (UAVs) have been confirmed as a powerful tool
for countless applications in nearly every industry, in which collision avoidance plays a vital …

Motivated by the limitations of existing multi-view stereo benchmarks, we present a novel
dataset for this task. Towards this goal, we recorded a variety of indoor and outdoor scenes …

This paper deals with deep neural networks for predicting accurate dense disparity map with
Semi-global matching (SGM). SGM is a widely used regularization method for real scenes …

Recent researches on robotics have shown significant improvement, spanning from
algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged …

It is still a grand challenge to implement a high-accuracy and high-performance stereo
matching algorithm on a resource-limited hardware platform in stereo vision systems. This …

High speed, low latency obstacle avoidance is essential for enabling Micro Aerial Vehicles
(MAVs) to function in cluttered and dynamic environments. While other systems exist that do …

Stereo vision is a popular technique to infer depth from two or more images. In this field,
confidence measures, typically obtained from the analysis of the cost volume, aim at …

Semiconductor photodetectors integrating preliminary signal-processing functions play a
vital role in artificial biomimetic retina systems. Herein, we propose a tungsten diselenide …

This paper presents a system for 3D reconstruction of large-scale outdoor scenes based on
monocular motion stereo. Ours is the first such system to run at interactive frame rates on a …