The advent of machine learning (ML) methods for the industry has opened new possibilities
in the automotive domain, especially for Advanced Driver Assistance Systems (ADAS) …

Ship detection and recognition are important for smart monitoring of ships in order to
manage port resources effectively. However, this is challenging due to complex ship profiles …

Vision systems capable of acquiring both two-dimensional and three-dimensional
information through Light Detection And Ranging are assuming ever-increasing importance …

In recent years, the rise of traffic in modern cities has demanded novel technology to support
the drivers and protect the passengers and other third parties involved in transportation …

Featured Application Deep learning, decision tree, linear discriminant analysis (LDA),
support vector machines (SVMs), k-nearest neighbors algorithm (K-NN), and ensemble …

Real-time intelligent video processing on embedded devices with low power consumption
can be useful for applications like drone surveillance, smart cars, and more. However, the …

Many research centres in the world that deal with the problems of the manufacture of land
vehicles, especially those intended for transport and communication in urban traffic, are still …

Within the universe of automated driving (AD) applications, automated valet parking (AVP) is
especially attractive in terms of opportunities and adoption. A camera is one of the …

State-of-the-art (SOTA) object detectors are generally evaluated on object detection
challenge datasets. However, automotive domain-specific quantitative analysis of detectors …

An automatic road sign detection system localizes road signs from within images captured
by an on-board camera of a vehicle, and support the driver to properly ride the vehicle. Most …