Automotive radar is the most promising and fastest-growing civilian application of radar
technology. Vehicular radars provide the key enabling technology for the autonomous …

Artificial intelligence in vision based approaches have proven to be effective in various
phases of intelligent vehicle system (IVS). An IVS has to intelligently take many critical …

In autonomous driving, the perception module typically utilizes a combination of millimeter-
wave radar and LiDAR. However, when driving in challenging environmental conditions, this …

Lane detection on the road is the most essential phase of existing advanced driver
assistance systems (ADAS). In the current road scheme, the lanes are parallel tracks which …

Detection of lane region under the road boundary is an imperative module for intelligent
vehicle system. Lane markings provide separate regions on the road for the vehicles to …

This paper presents an approach to create a high-resolution image from the surrounding
area of a car by utilizing the synthetic aperture radar (SAR) concept for automotive …

An advanced driver-assistance system (ADAS), based on lane detection technology, detects
dangerous situations through various sensors and either warns the driver or takes over …

Synthetic aperture radar (SAR) technology is investigated for automotive applications in
recent years. Sparse imaging methods have the potential to improve the quality of SAR …

Forward-looking automotive radars can sense long-distant targets to enable early warning,
but the lateral resolution is limited. Synthetic aperture radar (SAR) techniques can achieve …

This paper presents the vehicle integration of a synthetic aperture radar (SAR) algorithm to
produce SAR images for automotive scenarios while driving. The focus of this work is on two …