Automotive Radars: A review of signal processing techniques

By Sujeet Patole, Murat Torlak, Dan Wang, Murtaza Ali. IEEE Signal Processing Magazine, 2017

1,002 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Biomedical Engineering

View Paper: https://www.semanticscholar.org/paper/e0d377f3ea8377ccd815ca9d80681b2d92175225

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Citations in the corpus

Perception and sensing for autonomous vehicles under adverse weather conditions: A survey (2021, methodology): “Radar can be used in the detection of objects and obstacles like in the parking assistance system, also in detecting positions, and speed relative to the leading vehicle like in the adaptive cruise control system [27].”
MIMO Radar for Advanced Driver-Assistance Systems and Autonomous Driving: Advantages and Challenges (2020, background): “More recently, radar has emerged as one of the key technologies in autonomous driving systems, providing environmental perception in all weather conditions [5], [6].”
On the Effectiveness of OTFS for Joint Radar Parameter Estimation and Communication (2020, methodology): “…digital multi-carrier modulation formats such as OTFS and orthogonal frequency division multiplexing (OFDM) yield as accurate estimation performance as frequency modulated continuous wave (FMCW), one of the typical automotive radar wave-forms [10], while achieving signiﬁcant communication rates.”
FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters (2021, methodology): “With the flourishing millimeter wave circuit technology and advanced signal processing techniques, 77 GHz millimeter wave radar has been widely used in perception system of autonomous driving for detection of objects and obstacles [40].”
The Rise of Radar for Autonomous Vehicles: Signal processing solutions and future research directions (2019, background): “The first attempts at automotive radar applications were reported a few decades ago [1]–[3].”
Research Advances and Challenges of Autonomous and Connected Ground Vehicles (2019, methodology): “There are many techniques that have been developed to improve the capability of radars [56], [58], like Digital Beamforming (DBF) and multi-input-multi-output (MIMO) system.”
Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays (2019, background): “While radar is traditionally used for military applications, aerospace security, and weather services, new applications have recently appeared in the automotive sector [106], medical devices [107], and civil engineering [108], to name only a few.”