Ultrasound system and method for classifying obstacles using machine learning algorithms

• Main Authors: GARCIA, LUIS, M, WILSON MICHAEL, KUMAR AKASH, WINGERT THOMAS, SCHUMANN MICHAEL, SCHMIDT, JOHN, J, PROMER TOBIAS, RAMAKRISHNAN NATARAJAN, DUTTA JYOTI KAMAL, CHEN RUOBING, THUZEWSKI MARTIN, SAZODA, RAKESH, K, ELLEFSON, KJELL, CECCHI FABIO
• Format: Patent
• Language: Chinese; English
• Published: 13.12.2022
• Subjects: ANALOGOUS ARRANGEMENTS USING OTHER WAVES; CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; HANDLING RECORD CARRIERS; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES; MEASURING; PHYSICS; PRESENTATION OF DATA; RADIO DIRECTION-FINDING; RADIO NAVIGATION; RECOGNITION OF DATA; RECORD CARRIERS; TESTING

An ultrasound system and method for classifying obstacles using a machine learning algorithm. A system and method for classifying one or more objects within the vicinity of a vehicle is disclosed. The ultrasound data may be received from a plurality of ultrasound sensors and may include echo signals indicative of one or more objects located closest within the vicinity of the vehicle. One or more features may be calculated from the ultrasound data using one or more signal processing algorithms that are unique for each of the plurality of ultrasound sensors. The one or more features may be combined using a second horizontal signal processing algorithm to determine a geometry of the one or more objects. The one or more features may then be statistically aggregated at the object level. The one or more objects may then be classified using a machine learning algorithm that compares an input for each of the one or more features to the trained classifier. 使用机器学习算法对障碍物进行分类的超声波系统和方法。公开了一种用于对车辆附近内的一个或多个对象进行分类的系统和方法。超声波数