Scenario aware perception system for an automated vehicle

• US 9,898,008 B2
• Filed: 03/22/2016
• Issued: 02/20/2018
• Est. Priority Date: 03/22/2016
• Status: Active Grant

• Current Assignee: Motional AD, LLC (Aptiv PLC)
• Original Assignee: Delphi Technologies, Inc. (Aptiv PLC)
• Inventors: Xu, Wenda, Snider, Jarrod M., Wei, Junqing
• Primary Examiner(s): Zanelli, Michael J
• Application Number:
  US15/076,951
• Publication Number:
  US 20170277188A1
• Time in Patent Office: 700 Days
• CPC Class Codes: B60W 2050/0083 Setting, resetting, calibration
• CPC Class Codes: B60W 2420/403 Image sensing, e.g. optical camera
• CPC Class Codes: B60W 2420/408 Radar; Laser, e.g. lidar
• CPC Class Codes: B60W 2554/00 Input parameters relating to objects
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 50/0098 Details of control systems ensuring comfort, safety or stability not otherwise provided for
• CPC Class Codes: G01S 13/86 Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
• CPC Class Codes: G01S 13/865 Combination of radar systems with lidar systems
• CPC Class Codes: G01S 13/867 Combination of radar systems with cameras
• CPC Class Codes: G01S 13/931 of land vehicles
• CPC Class Codes: G01S 17/931 of land vehicles
• CPC Class Codes: G01S 2013/9315 Monitoring blind spots
• CPC Class Codes: G01S 2013/9322 using additional data, e.g. driver condition, road state or weather data
• CPC Class Codes: G01S 2013/9323 Alternative operation using light waves
• CPC Class Codes: G01S 2013/93271 in the front of the vehicles
• CPC Class Codes: G05D 1/024 in combination with a laser lasers per se H01S
• CPC Class Codes: G05D 1/0246 using a video camera in combination with image processing means
• CPC Class Codes: G05D 1/0257 using a radar radar systems designed for anti-collision purposes between land vehicles or between land vehicle and fixed obstacles G01S13/931
• CPC Class Codes: G06V 20/58 Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
• CPC Class Codes: G06V 20/588 Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road

Abstract

A scenario aware perception system suitable for use on an automated vehicle includes a traffic-scenario detector, an object-detection device, and a controller. The traffic-scenario detector is used to detect a present-scenario experienced by a host-vehicle. The object-detection device is used to detect an object proximate to the host-vehicle. The controller is in communication with the traffic-scenario detector and the object-detection device. The controller configured to determine a preferred-algorithm used to identify the object. The preferred-algorithm is determined based on the present-scenario.

Claims

1. A scenario aware perception system suitable for use on an automated vehicle, said system comprising:

a traffic-scenario detector used to detect a present-scenario experienced by a host-vehicle;

an object-detection device that outputs a signal used to detect an object proximate to the host-vehicle; and

a controller in communication with the traffic-scenario detector and the object-detection device, said controller configured to select a preferred-algorithm from a plurality of optimized-algorithms, said preferred-algorithm used to process the signal from the object-detection device to identify the object, wherein the preferred-algorithm is selected based on the present-scenario.

2. The system in accordance with claim 1, wherein the traffic-scenario detector includes a location-indicator, and the present-scenario is determined based on a map-location of the host-vehicle on a digital-map indicated by the location-indicator.

3. The system in accordance with claim 1, wherein the traffic-scenario detector includes one or more of a camera, a lidar-unit, and a radar-sensor, and the present-scenario is determined based on a signal from the traffic-scenario detector.

4. The system in accordance with claim 1, wherein the system includes a memory, and the controller is configured to select the present-scenario from a plurality of possible-scenarios stored in the memory.

5. The system in accordance with claim 1, wherein the object-detection device includes one or more of a camera, a lidar-unit, and a radar-sensor, and the object is detected based on a signal from the object-detection device.

6. The system in accordance with claim 1, wherein the controller is configured to further determine the preferred-algorithm based on an expected-direction of motion of the object relative to the host-vehicle indicated by the present-scenario.