Throughout the last century, the automobile industry achieved remarkable milestones in
manufacturing reliable, safe, and affordable vehicles. Because of significant recent …

The use of object detection algorithms has become extremely important in autonomous
vehicles. Object detection at high accuracy and a fast inference speed is essential for safe …

We perform a systematic literature review on testing, validation, and verification of robotic
and autonomous systems (RAS). The scope of this review covers peer-reviewed research …

The use of object detection algorithms is becoming increasingly important in autonomous
vehicles, and object detection at high accuracy and a fast inference speed is essential for …

Rigorous and comprehensive testing plays a key role in training self-driving cars to handle a
variety of situations that they are expected to see on public roads. The physical testing on …

In this paper, we study how to test the intelligence of an autonomous vehicle.
Comprehensive testing is crucial to both vehicle manufactories and customers. Existing …

Automated and autonomous driving systems (ADS) are a transformational technology in the
mobility sector. Current practice for testing ADS uses virtual tests in computer simulations; …

Autonomous driving carries the promise to drastically reduce the number of car accidents;
however, recently reported fatal crashes involving self-driving cars show that such an …

During automatic driving, the complex background and mutual occlusion between multiple
targets hinder the correct judgment of the detector and miss detection. When a close-range …

For the simulation-based test and evaluation of connected and automated vehicles (CAVs),
the trajectory of the background vehicle has a direct effect on the performance of CAVs and …