With the development and progress of information technology, especially V2X technology,
the research focus of intelligent vehicles gradually shifted from single-vehicle control to multi …

Abstract Software-in-the-Loop (SIL) testing is an approach used for verification and
validation in the energy sector. However, there is no comprehensive overview of the …

The increasing number of edge devices with enhanced sensing capabilities, such as
smartphones, wearables, and IoT devices equipped with sensors, holds the potential for …

This paper presents a Model in the Loop (MiL) framework to validate embedded
autonomous driving (AD) and advanced driver assistant systems (ADAS) algorithms …

Although the interest in autonomous vehicles and advanced driver assistance systems
(ADAS) is significantly increasing, they won't be viable until their system outperforms human …

The benefits of Autonomous Driving (AD) and Advanced Driver Assistance Systems (ADAS)
include providing critical capabilities that would help to reduce accidents due to driver …

The development of test method is essential for assessing autonomous vehicle safety. How
to ensure real vehicle dynamic performance and create more critical scenarios is the …

The development of intelligent vehicles has been increasing at great speed in recent years,
which has allowed to improve their capabilities in autonomous driving systems. Many of …

Autonomous vehicles rely heavily upon their perception subsystems to see the environment
in which they operate. Unfortunately, the effect of variable weather conditions presents a …

Testing & validation of high-level autonomy features requires large amounts of test data,
which conventionally is achieved by accumulating miles on the road and dedicated proving …