Modern autonomous vehicles have to cope with the consolidation of multiple critical
software modules processing huge amounts of real-time data on power-and resource …

Heterogeneous systems-on-chip (HeSoC) based on reconfigurable accelerators, such as
Field-Programmable Gate Arrays (FPGA), represent an appealing option to deliver the …

Autonomous vehicles integrate complex software stacks for realizing the necessary iterative
perception, planning, and action operations. One of the foundational layers of such stacks is …

We develop and commercialize autonomous machines, such as logistic robots and self-
driving cars, around the globe. A critical challenge to our—and any—autonomous machine …

Real-time, accurate, and robust localisation is critical for autonomous vehicles (AVs) to
achieve safe, efficient driving, whilst real-time performance is essential for AVs to achieve …

As autonomous cars are rolled out into new environments, their ability to solve the
simultaneous localization and mapping (SLAM) problem becomes critical. In order to tackle …

In the realm of advancing self-driving vehicle technology, numerous pivotal elements
contribute significantly to its progress, with localization standing out as a critical aspect. A …

Localization systems are crucial to every intelligent mobile system, especially to automated
vehicles. Knowing the own position, together with sensor data and predefined information, is …

Robustness and safety are crucial properties for the real-world application of autonomous
vehicles. One of the most critical components of any autonomous system is localisation …

Autonomous driving technology has become a spotlight in recent years. Of all the factors
related to autonomous driving, safety should be first considered. A safe global trajectory …