The Rise of Radar for Autonomous Vehicles: Signal processing solutions and future research directions

By Igal Bilik, Oren Longman, Shahar Villeval, Joseph Tabrikian. IEEE Signal Processing Magazine, 2019

331 citations recorded by the source corpus.

Automotive radar is the most promising and fastest-growing civilian application of radar technology. Vehicular radars provide the key enabling technology for the autonomous driving revolution that will have a dramatic impact on everyone's day-to-day lives. They play a central role in the autonomous sensing suit because of the significant progress in the radio-frequency (RF) CMOS technology that enables high-level radaron-chip integration and thus reduces the automotive radar cost to the level of consumer mass production. However, this would not be sufficient without high spatial resolution performance, which can be obtained by multiple-input, multiple-output (MIMO) and cognitive approaches at a lower cost.

Subfields: Aerospace Engineering, Biomedical Engineering

View Paper: https://www.semanticscholar.org/paper/fd342ca27c22c1c925c1fd1afe98c07872facd57

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

  1. Yuanhao Cui
  2. Gonzalo Seco-Granados
  3. Henk Wymeersch
  4. Mikko Valkama
  5. Davide Dardari
  6. Yuan Shen
  7. Fabiola Colone
  8. Jianmin Lu

In Biomedical Engineering

  1. Yuan Shen
  2. Hadi Sarieddeen

Citations in the corpus