Polarimetric Radar for Automotive Applications

• Päätekijä: Visentin, Tristan (auth)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: KIT Scientific Publishing 2019
• Sarja: Karlsruher Forschungsberichte aus dem Institut für Hochfrequenztechnik und Elektronik
• Aiheet: Technology: general issues; Machine-Learning; Millimeter-Wave Radar; Automotive Radar; Polarimetric Radar; Target Classification; Polarimetrie; Millimeterwellen-Radar; Objekterkennung; KI; Automotive-Radar
• Linkit: DOAB: download the publication; DOAB: description of the publication

Current automotive radar sensors prove to be a weather robust and low-cost solution, but are suffering from low resolution and are not capable of classifying detected targets. However, for future applications like autonomous driving, such features are becoming ever increasingly important. On the bas...