SYSTEMS METHODS AND APPARATUS FOR DEEP-LEARNING MULTIDIMENSIONAL DETECTION SEGMENTATION AND CLASSIFICATION
An object detection system in a surrounding environment of a vehicle. The detection system comprising, a radar, and a processing unit. The radar comprising a transmitter, a receiver, and an ultra-low phase-noise frequency synthesizer. The detection system gathers electromagnetic data of the objects...
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| creator | Lavian, Tal |
| description | An object detection system in a surrounding environment of a vehicle. The detection system comprising, a radar, and a processing unit. The radar comprising a transmitter, a receiver, and an ultra-low phase-noise frequency synthesizer. The detection system gathers electromagnetic data of the objects from radio signal received by the receiver; classify each of the objects by analyzing the gathered electromagnetic data; continuously compare classifications and object detections to immediate past classifications and object detections, and to previously classified and detected objects; continuously validate current, immediate past, and past object detections; generate a three-dimensional electromagnetic-map of the surrounding environment by utilizing the electromagnetic signatures of each of the classified objects; and reclassify objects and combine the generated three-dimensional electromagnetic map with one of a geographical-map, a physical map, or a combination thereof to determine a direction and a distance of each of the one or more classified objects from the system. |
| format | Patent |
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The detection system comprising, a radar, and a processing unit. The radar comprising a transmitter, a receiver, and an ultra-low phase-noise frequency synthesizer. The detection system gathers electromagnetic data of the objects from radio signal received by the receiver; classify each of the objects by analyzing the gathered electromagnetic data; continuously compare classifications and object detections to immediate past classifications and object detections, and to previously classified and detected objects; continuously validate current, immediate past, and past object detections; generate a three-dimensional electromagnetic-map of the surrounding environment by utilizing the electromagnetic signatures of each of the classified objects; and reclassify objects and combine the generated three-dimensional electromagnetic map with one of a geographical-map, a physical map, or a combination thereof to determine a direction and a distance of each of the one or more classified objects from the system.</description><language>eng</language><subject>ANALOGOUS ARRANGEMENTS USING OTHER WAVES ; AUTOMATIC CONTROL, STARTING, SYNCHRONISATION, OR STABILISATIONOF GENERATORS OF ELECTRONIC OSCILLATIONS OR PULSES ; BASIC ELECTRONIC CIRCUITRY ; CALCULATING ; COMPUTING ; COUNTING ; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES ; ELECTRICITY ; 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</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220210&DB=EPODOC&CC=US&NR=2022043108A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220210&DB=EPODOC&CC=US&NR=2022043108A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Lavian, Tal</creatorcontrib><title>SYSTEMS METHODS AND APPARATUS FOR DEEP-LEARNING MULTIDIMENSIONAL DETECTION SEGMENTATION AND CLASSIFICATION</title><description>An object detection system in a surrounding environment of a vehicle. The detection system comprising, a radar, and a processing unit. The radar comprising a transmitter, a receiver, and an ultra-low phase-noise frequency synthesizer. 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The detection system comprising, a radar, and a processing unit. The radar comprising a transmitter, a receiver, and an ultra-low phase-noise frequency synthesizer. The detection system gathers electromagnetic data of the objects from radio signal received by the receiver; classify each of the objects by analyzing the gathered electromagnetic data; continuously compare classifications and object detections to immediate past classifications and object detections, and to previously classified and detected objects; continuously validate current, immediate past, and past object detections; generate a three-dimensional electromagnetic-map of the surrounding environment by utilizing the electromagnetic signatures of each of the classified objects; and reclassify objects and combine the generated three-dimensional electromagnetic map with one of a geographical-map, a physical map, or a combination thereof to determine a direction and a distance of each of the one or more classified objects from the system.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | ANALOGOUS ARRANGEMENTS USING OTHER WAVES AUTOMATIC CONTROL, STARTING, SYNCHRONISATION, OR STABILISATIONOF GENERATORS OF ELECTRONIC OSCILLATIONS OR PULSES BASIC ELECTRONIC CIRCUITRY CALCULATING COMPUTING COUNTING DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES ELECTRICITY 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 |
| title | SYSTEMS METHODS AND APPARATUS FOR DEEP-LEARNING MULTIDIMENSIONAL DETECTION SEGMENTATION AND CLASSIFICATION |
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