Depth estimation is requisite to build the 3-D perceiving capability of artificial intelligence of
things (AIoT). Real-time inference with extremely low computing resource consumption is …

3D perception is an essential capability of autonomous vehicles. Most state-of-the-art stereo
matching networks pursue higher prediction accuracy at the cost of the inference speed …

Light detection and ranging (LiDAR) devices based on micro-electromechanical systems
(MEMS) micromirrors have been promising sensors for automatic driving due to the …

The saturated waveform is a main limiting factor of dynamic detection range of light detection
and ranging (LiDAR), and thus, extracting the range from saturated waveform accurately can …

The closed-loop constraint provided by loop closure detection (LCD) plays an essential role
in eliminating accumulated errors of simultaneous localization and mapping (SLAM) …

Stereo matching is a classical problem in computer vision. It has been widely used in many
fields, especially autonomous driving in recent years. Two key aspects of speed and …

Stereo matching is an important component technology that constitutes the 3D perception
capability of autonomous vehicles. On resource-constrained edge devices, it is very …

Light Detection and Ranging (LiDAR) devices are critical for constructing three-dimensional
scenes around vehicles, making them essential for automatic and intelligent driving systems …

Miniature mobile robots in multirobotic systems require reliable environmental perception for
successful navigation, especially when operating in a real-world environment. One of the …

The 3-D light detection and rangings (LiDARs) are nowadays used for many applications,
the success of which certainly depends on the processing of the LiDAR output—the point …