Autonomous vehicles require constant environmental perception to obtain the distribution of
obstacles to achieve safe driving. Specifically, 3D object detection is a vital functional …

The wave of modernization around us has put the automotive industry on the brink of a
paradigm shift. Leveraging the ever-evolving technologies, vehicles are steadily …

The potential impacts of machine learning and artificial intelligence (AI) on society are
receiving increased attention owing to the rapid growth of these technologies during the …

Automation is expected to effectively address the growing demand for passenger and freight
transportation, safety issues, human errors, and increasing congestion. The growth of …

Blockchain is an underlying technology for securing many real-time applications and their
data. The automobile is one such sector in which auto-manufacturers are looking forward to …

The continuous integration of advanced driver-assist systems (ADAS) into connected and
autonomous vehicles (CAV) is accelerating the transition of human-driven vehicles to a fully …

Challenges related to automated driving are no longer focused on just the construction of
such automated vehicles (AVs) but also on assuring the safety of operation. Recent …

Automated vehicles (AVs) aim to dramatically improve traffic safety by reducing or
eliminating human error, which remains the leading cause of road crashes. However …

A variety of stakeholders have put forth automated vehicle (AV) deployment timeline
predictions over the past decade. To synthesize these predictions, we performed a …

Abstract Autonomous Vehicles (AVs) are being widely tested on public roads in several
countries such as the USA, Canada, France, Germany, and Australia. For the transparent …