In the near future, autonomous vehicles with full self-driving features will populate our public
roads. However, fully autonomous cars will require robust perception systems to safely …

For autonomous driving, traversability analysis is one of the most basic and essential tasks.
In this paper, we propose a novel LiDAR‐based terrain modeling approach, which could …

Popular benchmarks for self-supervised LiDAR scene flow (stereoKITTI, and
FlyingThings3D) have unrealistic rates of dynamic motion, unrealistic correspondences, and …

Rapid and precise tree Diameter at Breast Height (DBH) measurement is pivotal in forest
inventories. While the recent advancements in LiDAR and Structure from Motion (SFM) …

Ground segmentation on the 3D point cloud is fundamental to many applications, such as
SLAM and object segmentation. As it is usually a preprocessing module of these …

Discriminating the traversability of terrains is a crucial task for autonomous driving in off-road
environments. However, it is challenging due to the diverse, ambiguous, and platform …

Road classification is essential in outdoor vehicle perception systems to evaluate driving
scenarios. A light detection and ranging (LiDAR) sensor can provide accurate …

Over the past two decades, there has been a growing demand for generating digital surface
models (DSMs) in real-time, particularly for aircraft landing in degraded visual environments …

This study proposes a method for detecting and tracking traversable regions in off-road
conditions for unmanned ground vehicles (UGVs). Off-road conditions, such as rough terrain …

Interacting with the environment, such as object detection and tracking, is a crucial ability of
mobile robots. Besides high accuracy, efficiency in terms of processing effort and energy …