Towards navigation safety for autonomous cars

M Joerger, M Spenko - Inside GNSS, 2017 - par.nsf.gov
Promising new technology has recently emerged to increase the level of safety and
autonomy in driving, including lane and distance keeping assist systems, automatic braking …

Extracting general-purpose features from LIDAR data

Y Li, EB Olson - … IEEE international conference on robotics and …, 2010 - ieeexplore.ieee.org
The detection of features from Light Detection and Ranging (LIDAR) data is a fundamental
component of feature-based mapping and SLAM systems. Existing detectors tend to exploit …

Localization in unstructured environments: Towards autonomous robots in forests with delaunay triangulation

Q Li, P Nevalainen, J Peña Queralta, J Heikkonen… - Remote Sensing, 2020 - mdpi.com
Autonomous harvesting and transportation is a long-term goal of the forest industry. One of
the main challenges is the accurate localization of both vehicles and trees in a forest …

Fast keypoint features from laser scanner for robot localization and mapping

F Kallasi, DL Rizzini, S Caselli - IEEE Robotics and Automation …, 2016 - ieeexplore.ieee.org
Detecting features in sensor measurements and distinguishing among them is an important
capability for robot localization and navigation. Despite the wide diffusion of range finders …

A new seam-tracking algorithm through characteristic-point detection for a portable welding robot

D Chang, D Son, J Lee, D Lee, T Kim, KY Lee… - Robotics and Computer …, 2012 - Elsevier
The welding task in double-hulled structures in shipyards and in steel-frame structures is
hazardous and difficult due to the toxic gas and limited workspace. Therefore, many efforts …

Survey on 2d lidar feature extraction for underground mine usage

K Nielsen, G Hendeby - IEEE Transactions on Automation …, 2022 - ieeexplore.ieee.org
Robust and highly accurate position estimation in underground mines is investigated by
considering a vehicle equipped with 2D laser scanners. A survey of available methods to …

Structure tensors for general purpose LIDAR feature extraction

Y Li, EB Olson - 2011 IEEE International Conference on …, 2011 - ieeexplore.ieee.org
The detection of features from Light Detection and Ranging (LIDAR) data is a fundamental
component of feature-based mapping and SLAM systems. Classical approaches are often …

Natural landmark extraction for mobile robot navigation based on an adaptive curvature estimation

P Núñez, R Vázquez-Martín, JC Del Toro… - Robotics and …, 2008 - Elsevier
This paper proposes a geometrical feature detection system which is to be used with
conventional 2D laser range finders. It consists of three main modules: data acquisition and …

A general purpose feature extractor for light detection and ranging data

Y Li, EB Olson - Sensors, 2010 - mdpi.com
Feature extraction is a central step of processing Light Detection and Ranging (LIDAR) data.
Existing detectors tend to exploit characteristics of specific environments: corners and lines …

Moving obstacles detection based on laser range finder measurements

M Dekan, D František, B Andrej… - International …, 2018 - journals.sagepub.com
The objective of this article is to propose data processing from laser range finder that will
provide simple, fast, and reliable object recognition including moving objects. The whole …