In mobile robotics, LASER scanners have a wide spectrum of indoor and outdoor applications, both in structured and unstructured environments, due to their accuracy and precision. Most works that use this sensor have their own data representation and their own case-specific modeling strategies, and no …

Accurate localization in autonomous robots enables effective decision-making within their operating environment. Various methods have been developed to address this challenge, encompassing traditional techniques, fiducial marker utilization, and machine learning approaches. This work proposes a deep-learning …

The use of machine learning in embedded systems is an interesting topic, especially with the growth in popularity of the Internet of Things (IoT). The capacity of a system, such as a robot, to self-localize, is a fundamental skill for its navigation and decision-making processes. This work focuses on …

Localization is a crucial skill in mobile robotics because the robot needs to make reasonable navigation decisions to complete its mission. Many approaches exist to implement localization, but artificial intelligence can be an interesting alternative to traditional localization techniques based on model …

Autonomous driving in public roads requires precise localization within the range of few centimeters. Even the best localization systems based on GNSS cannot always reach this level of precision, especially in an urban environment, where the signal is disturbed by surrounding buildings and artifacts. …

Zelfrijdende technologieën zijn steeds meer in opkomst. Auto's gebruiken allerlei technieken om de bestuurder te helpen en een deel van het autorijden over te nemen, en in fabrieken rijden robots al helemaal zelfstandig rond. Zelfrijdende shuttlebusjes zijn al een realiteit, en het zal niet lang meer …

Autonomous driving in public roads requires precise localization within the range of few centimeters. Even the best current precise localization system based on the Global Navigation Satellite System (GNSS) can not always reach this level of precision, especially in an urban environment, where the signal …

Dit werk is gericht op 3-D lokalisatie van sensormotes in massale zwermen, uitsluitend gebaseerd op 1-D relatieve afstandsmetingen tussen naburige motes. We richten ons op toepassingen in afgelegen en moeilijk toegankelijke omgevingen zoals de exploratie en het in kaart brengen van de binnenkant van …

This work provides a feasibility study on estimating the 3-D locations of several thousand miniaturized free-floating sensor platforms. The localization is performed on basis of sparse ultrasound range measurements between sensor platforms and without the use of beacons. We show that this task can be …