Important requirements for automotive radar are high resolution, low hardware cost, and
small size. Multiple-input, multiple-output (MIMO) radar technology has been receiving …

Nowadays, there are outstanding strides towards a future with autonomous vehicles on our
roads. While the perception of autonomous vehicles performs well under closed-set …

Radars and lidars are two primary sensor modalities complementing optical cameras in
active safety and autonomous driving applications. Radars and lidars operate at …

Scene understanding for automated driving requires accurate detection and classification of
objects and other traffic participants. Automotive radar has shown great potential as a sensor …

With a booming number of wireless Internet-of-Things devices, satellite communications
have been recognized as a key pillar to support massive communication and ubiquitous …

Multipath is a challenging problem for radar-based localization systems, especially in indoor
scenarios. Multipath is caused by the bounces from static objects like walls and furniture in …

Multipath propagation induced by large number of reflec-tions from complex environments
has been a long-standing challenge that affects automotive radar target detection. This …

Future use of high-resolution near range radar sensors for vehicle environment perception is
facing challenges in terms of detection and correct assignment of multipath reflections (false …

This article discusses the effect of multipath in automotive radar imaging under different
sensor configurations. The study is motivated by the fact that radar technologies are …

Recently, mmWave has been widely used in fine-grained sensing applications due to its
short wavelength and large bandwidth. One mmWave device usually can measure the …