Abstract Automated Driving Systems (ADS) open up a new domain for the automotive
industry and offer new possibilities for future transportation with higher efficiency and …

In the realm of modern autonomous driving, the perception system is indispensable for
accurately assessing the state of the surrounding environment, thereby enabling informed …

Advances in perception for self-driving cars have accelerated in recent years due to the
availability of large-scale datasets, typically collected at specific locations and under nice …

Terrain classification is an important problem for mobile robots operating in extreme
environments as it can aid downstream tasks such as autonomous navigation and planning …

We address the problem of robot localization using ground penetrating radar (GPR) sensors.
Current approaches for localization with GPR sensors require a priori maps of the system's …

Stable and reliable autonomous localization technology is fundamental for realizing
autonomous driving. Localization systems based on global positioning system (GPS) …

As autonomous driving technology rapidly advances, effective testing tools and methods
become crucial. This paper comprehensively assesses the capabilities and limitations of …

Localizing ground penetrating radar (LGPR) has been proven to be a promising technology
for robot localization in various dynamic environments. However, the extreme scarcity of …

This paper proposes a data align pipeline for LGPR (Localization Ground Penetrating
Radar). LGPR achieves robot localization by matching prior underground data map …

Abstract Autonomous Ground Vehicles (AGVs) have made their way into various industries,
including transportation, delivery services, healthcare, and logistics handling. In order to …