Mobile Laser Scanning (MLS) is a versatile remote sensing technology based on Light
Detection and Ranging (lidar) technology that has been utilized for a wide range of …

Very low Earth orbits (VLEO), typically classified as orbits below approximately 450 km in
altitude, have the potential to provide significant benefits to spacecraft over those that …

Abstract 3D object detection is a central task for applications such as autonomous driving, in
which the system needs to localize and classify surrounding traffic agents, even in the …

Loop closure detection is an essential and challenging problem in simultaneous localization
and mapping (SLAM). It is often tackled with light detection and ranging (LiDAR) sensor due …

Understanding driving situations regardless the conditions of the traffic scene is a
cornerstone on the path towards autonomous vehicles; however, despite common sensor …

We tackle the problem of producing realistic simulations of LiDAR point clouds, the sensor of
preference for most self-driving vehicles. We argue that, by leveraging real data, we can …

Ideal for both undergraduate and graduate students in the fields of geography, forestry,
ecology, geographic information science, remote sensing, and photogrammetric …

High spatial resolution (1–5 m) remotely sensed datasets are increasingly being used to
map land covers over large geographic areas using supervised machine learning …

This work presents a semi-automatic approach to the 3D reconstruction of Heritage-Building
Information Models from point clouds based on machine learning techniques. The use of …

Autonomous driving at level five does not only means self-driving in the sunshine. Adverse
weather is especially critical because fog, rain, and snow degrade the perception of the …