Lidar imaging systems are one of the hottest topics in the optronics industry. The need to
sense the surroundings of every autonomous vehicle has pushed forward a race dedicated …

High-speed 3D shape measurement (or imaging) has seen tremendous growths over the
past decades, especially the past few years due to the improved speed of computing …

The success of monocular depth estimation relies on large and diverse training sets. Due to
the challenges associated with acquiring dense ground-truth depth across different …

As one of the most popular techniques for non-contact three-dimensional (3D)
sensing/imaging, fringe projection profilometry (FPP) has been growing rapidly over the past …

Light Detection and Ranging (LiDAR) is a 3D imaging technique, widely used in many
applications such as augmented reality, automotive, machine vision, spacecraft navigation …

Online reconstruction based on RGB-D sequences has thus far been restrained to relatively
slow camera motions (< 1m/s). Under very fast camera motion (eg, 3m/s), the reconstruction …

We present an end-to-end system for augmented and virtual reality telepresence, called
Holoportation. Our system demonstrates high-quality, real-time 3D reconstructions of an …

Neural networks can represent and accurately reconstruct radiance fields for static 3D
scenes (eg, NeRF). Several works extend these to dynamic scenes captured with monocular …

After more than 20 years of research, ADAS are common in modern vehicles available in the
market. Automated Driving systems, still in research phase and limited in their capabilities …

Recently, the concept of human-robot collaboration has raised many research interests.
Instead of robots replacing human workers in workplaces, human-robot collaboration allows …