IMAGING SYSTEM FOR VEHICLE

• US 20090208058A1
• Filed: 04/24/2009
• Published: 08/20/2009
• Est. Priority Date: 04/15/2004
• Status: Active Grant

• Current Assignee: Magna Electronics Incorporated (Magna International Incorporated)
• Original Assignee: Donnelly Corporation (Magna International Incorporated)
• Inventors: Schofield, Kenneth, Lynam, Niall R.
• Granted Patent: US 7,616,781 B2
• Time in Patent Office: Days
• US Class Current: 382/103
• CPC Class Codes: B60K 2360/143 Touch sensitive instrument input devices
• CPC Class Codes: B60K 2360/148 Instrument input by voice
• CPC Class Codes: B60K 2360/21 using cameras
• CPC Class Codes: B60K 2360/27 using semi-transparent optical elements
• CPC Class Codes: B60K 2360/331 Electroluminescent elements
• CPC Class Codes: B60K 2360/334 Projection means
• CPC Class Codes: B60K 2360/34 Backlit symbols
• CPC Class Codes: B60K 2360/589 Wireless data transfers
• CPC Class Codes: B60K 2360/777 on or in sun visors
• CPC Class Codes: B60K 35/10 Input arrangements, i.e. from user to vehicle, associated with vehicle functions or specially adapted therefor
• CPC Class Codes: B60K 35/22 Display screens
• CPC Class Codes: B60K 35/60 Instruments characterised by their location or relative disposition in or on vehicles arrangements of lighting devices on dashboards B60Q3/10
• CPC Class Codes: B60K 35/81 for controlling displays
• CPC Class Codes: B60K 35/85 Arrangements for transferring vehicle- or driver-related data
• CPC Class Codes: B60Q 1/08 automatically
• CPC Class Codes: B60Q 2300/42 oncoming vehicle
• CPC Class Codes: B60Q 9/008 for anti-collision purposes
• CPC Class Codes: B60R 1/001 integrated in the windows, e.g. Fresnel lenses
• CPC Class Codes: B60R 1/04 mounted inside vehicle B60R1/025, B60R1/08 take precedence
• CPC Class Codes: B60R 1/12 Mirror assemblies combined with other articles, e.g. clocks
• CPC Class Codes: B60R 1/24 : in front of the vehicle
• CPC Class Codes: B60R 1/26 : to the rear of the vehicle
• CPC Class Codes: B60R 11/04 : Mounting of cameras operative during drive; Arrangement of controls thereof relative to the vehicle
• CPC Class Codes: B60R 2001/1215 : with information displays
• CPC Class Codes: B60R 2001/1253 : with cameras, video cameras or video screens
• CPC Class Codes: B60R 2011/0026 : Windows, e.g. windscreen
• CPC Class Codes: B60R 2300/205 : using a head-up display
• CPC Class Codes: B60R 2300/207 : using multi-purpose displays, e.g. camera image and navigation or video on same display
• CPC Class Codes: B60R 2300/30 : characterised by the type of image processing
• CPC Class Codes: B60R 2300/301 : combining image information with other obstacle sensor information, e.g. using RADAR/LIDAR/SONAR sensors for estimating risk of collision
• CPC Class Codes: B60R 2300/302 : combining image information with GPS information or vehicle data, e.g. vehicle speed, gyro, steering angle data
• CPC Class Codes: B60R 2300/804 : for lane monitoring
• CPC Class Codes: B60R 2300/8093 : for obstacle warning
• CPC Class Codes: B60W 2050/143 : Alarm means
• CPC Class Codes: B60W 2050/146 : Display means
• CPC Class Codes: B60W 30/143 : Speed control B60W30/16 takes precedence
• CPC Class Codes: B60W 30/18 : Propelling the vehicle
• CPC Class Codes: B60W 50/14 : Means for informing the driver, warning the driver or prompting a driver intervention
• CPC Class Codes: B60W 50/16 : Tactile feedback to the driver, e.g. vibration or force feedback to the driver on the steering wheel or the accelerator pedal
• CPC Class Codes: G06T 7/20 : Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G06V 10/147 : Details of sensors, e.g. sensor lenses fingerprint or palmprint sensors G06V40/13; vascular sensors G06V40/145; eye sensors G06V40/19
• 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 20/582 : of traffic signs
• CPC Class Codes: G06V 20/584 : of vehicle lights or traffic lights
• 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
• CPC Class Codes: G08G 1/166 : for active traffic, e.g. moving vehicles, pedestrians, bikes
• CPC Class Codes: G08G 1/167 : Driving aids for lane monitoring, lane changing, e.g. blind spot detection
• CPC Class Codes: H04N 23/54 : Mounting of pick-up tubes, electronic image sensors, deviation or focusing coils
• CPC Class Codes: H04N 7/18 : Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
• CPC Class Codes: H04N 7/183 : for receiving images from a single remote source

Abstract

An imaging system for a vehicle includes an imaging device having a field of view exteriorly and forward of the vehicle in its direction of travel, and an image processor operable to process the captured images in accordance with an algorithm. The algorithm comprises a sign recognition routine and a character recognition routine. The image processor processes the image data captured by the imaging device to detect signs in the field of view of the imaging device and applies the sign recognition routine to determine a sign type of the detected sign. The image processor is operable to apply the character recognition routine to the image data to determine information on the detected sign. The image processor applies the character recognition routine to the captured images in response to an output of the sign recognition routine being indicative of the detected sign being a sign type of interest.

Claims

1. An imaging system for a vehicle comprising:

an imaging device having a field of view exteriorly and forward of the vehicle in its direction of travel said imaging device being operable to capture images representative of the exterior scene in the forward field of view; and

an image processor operable to process the captured images in accordance with an algorithm, said algorithm comprising a sign recognition routine and a character recognition routine, said image processor processing the captured images to detect signs in the field of view of said imaging device, said image processor (a) applying said sign recognition routine to the captured images to determine a sign type of the detected sign and generating a sign recognition output, and (b) responsive to said sign recognition output being indicative of the detected sign being a sign type of interest, then applying said character recognition routine to the captured images to determine information on the detected sign.