Advanced Radar for Autonomous Driving — ARAD

Radar for Autonomous Driver Assist Course presented here is an on-demand (paid-for/subscription) program on the topic of Advanced{^2} Vehicular Systems. Radar for Advanced Vehicular Systems is a technical e-Booklet in pdf format on RADAR (Radio Frequency Detection and Ranging) technology used in modern ADAS (Advanced Driver Assistance Systems) and autonomous, driver-less vehicles (cars and fully autonomous-drones) under development or deployed globally. Main focus of this on-demand course is sensor fusion for autonomous driving; radar; LiDAR; vision based sensing and computing. [{ref2}, {ee-ref156,-157}].

Cars are among most dangerous moving human made systems as vehicles on the roads on Planet Earth. Cognitave Inc’s Electronics Department has dedicated R&D efforts to developing this Advanced Radar for Autonomous Driving{^tm} course {^c}— ARAD, on-demand.

Find the available e-Booklet on Electronics Store {Link: https://www.cognitave.com/ee-store/p/cognee-ravs, Radar for Advanced Vehicular Systems (*.pdf)}

This course presents main Radar sensing techniques and analysis that enable detection and tracking of targets in the front and proximity of a vehicle equipped with this sensor. {Read More About this Topic Course on Cognitave Inc EE-Store}

#{Radar technology}, #{Integrated Circuits (ICs) and fabrication technologies for millimeter-wave Radars}. #{Radar Signal Processing (RSP)},#{OEMs (Original Equipment Manufacturers)}.

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Radar technology discussed in this course includes a system level overview of the most common architecture for automotive Radars, and a review of key components and their roles. A typical technological and cost analysis should cover Integrated Circuits (ICs) and fabrication technologies for millimeter-wave Radars. Radar Signal Processing (RSP) is a central and paramount R&D focus across the globe among Tier-1 companies that design, develop, manufacture, validate and verify the sensing modules for OEMs (Original Equipment Manufacturers). Various steps of signal processing for Radar include signal conditioning, signal analysis, detection and tracking. Key functions and theories in RSP include Fast Fourier Transform (FFT), Constant False Alarm Rate (CFAR), and Direction of Arrival (DOA).

Modern automobiles are equipped with other sensing modules including cameras, Lidar, and ultrasound. In order to effectively and safely maintain the control of a vehicle, there are a unique set of requirements that need to be met for all such utilized perception sensors. Advancing the sensing modality by adding more features and functionalities leada to a higher price tag for each sensor. On the other hand, costs of such advanced sensors need to be reduced below a treshold to justify their deployment in mass produced vehicles.

Credits

(MXD/COGN)

  • [1] radar for advanced vehicular systems, Technological and Scientific Booklet, by Mahdi Haghzadeh, PhD. Publisher Maxdi Inc. 2023

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    [3]

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  • Maxdi Inc.

  • (1) Mathematica Codes

    (2) Matlab Codes

    (3) Octave8 Codes

    (4) Python Codes

  • Journal Papers, Conference Proceedings