IP Library › Granted Patent US 11,036,239
Granted Patent B1
US 11,036,239 · App. 15/479,276 · Granted Jun 15, 2021

Object identification for autonomous road vehicles

Inventors: Janice H. Nickel (Pacifica, CA); Bryan H. Nickel (San Clemente, CA)
G05D1/028B60W10/18B60W10/20B60W30/09B60W30/12B60W30/143B60W30/18109B60W30/18145B60W30/18163G05D1/0214G05D1/0223G06K9/00791G06K19/0723G08G1/165G08G1/166G08G1/167B60W2050/143B60W2420/52B60W2510/18B60W2510/20B60W2520/10B60W2552/15B60W2552/30B60W2555/60B60W2556/45B60W2710/18B60W2710/20B60W2720/10B60W2756/10H01Q1/32
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Quick Facts
Patent No.
US 11,036,239
App. No.
15/479,276
Granted
Jun 15, 2021
Kind
B1
Abstract

An autonomous road vehicle includes means for receiving wireless identification signals during vehicle navigation and using the wireless identification signals to determine position and identification of nearby road objects. The autonomous road vehicle further includes an autonomous vehicle control system responsive to the positions and the identifications.

Claims (13)

1. Apparatus for an autonomous road vehicle, the apparatus comprising:

a processing system configured to receive wireless RF identification signals from nearby road objects during vehicle navigation and use the wireless identification signals to determine identifications of and relative distances to the nearby road objects;

computer vision; and

an autonomous vehicle control system configured to use the computer vision and the relative distances and the identifications to assist the computer vision in identifying and locating the nearby road objects, wherein the identifications and the relative distances determined from the wireless identification signals are used to update computer learning of the computer vision.

2. The apparatus of claim 1 , wherein using the wireless identification signals includes using Strength of Signal or Time of Flight of the wireless identification signals to determine the relative distances of the nearby road objects.

3. The apparatus of claim 1 , wherein the autonomous vehicle control system is further configured to use the identifications and the relative distances for collision avoidance.

4. Apparatus for an autonomous road vehicle, the apparatus comprising:

a processing system configured to receive wireless RF identification signals from nearby road objects during vehicle navigation and use the wireless identification signals to determine identifications of and relative distances to the nearby road objects;

computer vision; and

an autonomous vehicle control system configured to use the computer vision and the relative distances and the identifications to assist the computer vision in identifying and locating the nearby road objects, wherein the processing system creates a data structure containing the identifications and the relative locations of the nearby road objects, the vehicle control uses the identifications and the relative distances contained in the data structure of those nearby objects that were not identified or located by the computer vision, the processing system is configured to send the data structure to a mapping service, and the processing system is further configured to receive aggregated data structures from the mapping service and use the aggregated data structures to further enhance situational awareness.

5. The apparatus of claim 4 , wherein using the wireless identification signals includes using Strength of Signal or Time of Flight of the wireless identification signals to determine the relative distances of the nearby road objects.

6. The apparatus of claim 4 , wherein if a nearby road object is not found in the data structure and cannot be identified or located by the computer vision, then the processing system broadcasts an interrogation signal, receives a responsive wireless identification signal, determines identification and relative distance from the received signal, and adds the identification and the relative distance to the data structure.

7. The apparatus of claim 4 , wherein the autonomous vehicle control system is further configured to use the data structures for collision avoidance.

Continuity (1)
Continuation In Part 15260266 · Sep 8, 2016
Cited By (2)
US 12,228,943 US 12,649,483