Adaptive multiscale feature extraction in a distributed system for semantic classification of airborne LiDAR point clouds

S Singh, J Sreevalsan-Nair - IEEE Geoscience and Remote …, 2021 - ieeexplore.ieee.org
Multiple spatial scales have been used extensively for feature extraction from light detection
and ranging (LiDAR) point clouds. These features have been used for semantic …

A distributed system for optimal scale feature extraction and semantic classification of large-scale airborne LiDAR point clouds

S Singh, J Sreevalsan-Nair - International Conference on Distributed …, 2020 - Springer
Abstract Airborne LiDAR (Light Detection and Ranging) or aerial laser scanning (ALS)
technology can capture large-scale point cloud data, which represents the topography of …

Visual Exploration of LiDAR Point Clouds

S Singh, J Sreevalsan-Nair - Advances in Scalable and Intelligent …, 2023 - taylorfrancis.com
In this chapter, we discuss different visualization tools for three-dimensional (3D) Light
Detection and Ranging (LiDAR) point clouds. We explain the design and implementation of …

[PDF][PDF] IMGD: Image-based Multiscale Global Descriptors of Airborne LiDAR Point Clouds Used for Comparative Analysis

P Frosini, D Giorgi, S Melzi, E Rodolà - diglib.eg.org
Both geometric and semantic information are required for a complete understanding of
regions acquired as three-dimensional (3D) point clouds using the Light Detection and …

Evaluating the Benefits of Spatio-Temporal Relational Operations for Validating LiDAR Perception Systems

J Holmgren, P Nord - 2021 - odr.chalmers.se
On the road to fully autonomous vehicles, advancements in sensor technology haveenabled
Advanced Driver-Assistance Systems (ADAS) in assisting the driver with tasks such as lane …