Traffic signal recognition apparatus and traffic signal recognition method

Patent metadata

Field	Value
Publication number	US-9779315-B2
Application number	US-201415311884-A
Country	US
Kind code	B2
Filing date	May 20, 2014
Priority date	May 20, 2014
Publication date	Oct 3, 2017
Grant date	Oct 3, 2017

Abstract

A traffic signal recognition apparatus acquires image data by imaging the surroundings of a vehicle, detects a self-position of the vehicle, and detects, in the image, a traffic signal around the vehicle. The traffic signal recognition apparatus identifies two or more of the traffic signal predicted to be captured in the image, based on information on the self-position and map information containing positional information on the traffic signals, and assigns a priority level to each of the two or more traffic signals thus identified, based on a possibility of the traffic signal being blocked out of sight. When the two or more traffic signals are identified, the traffic signal detected in the image is a traffic signal with a highest priority level among the two or more traffic signals.

First claim

The invention claimed is:

1. A traffic signal recognition apparatus comprising:
an imager mounted in a vehicle and configured to acquire an image by imaging surroundings of the vehicle;
a self-position detector configured to detect a self-position of the vehicle;
a traffic signal detector configured to detect, in the image, a traffic signal around the vehicle;
a traffic signal identifier configured to identify two or more of the traffic signal around the vehicle and predicted to be captured in the image, based on the self-position and map information containing positional information on the traffic signals; and
a priority level assigner configured to assign a priority level to each of the two or more traffic signals identified by the traffic signal identifier, based on a possibility of the traffic signal being blocked out of sight, wherein
when the traffic signal identifier identifies the two or more traffic signals, the traffic signal detector detects, in the image, a traffic signal with a highest priority level among the two or more traffic signals.

2. The traffic signal recognition apparatus according to claim 1 , wherein
the priority level assigned by the priority level assigner is higher for a traffic signal located near an oncoming lane than for a traffic signal located near a current lane of travel of the vehicle.

3. The traffic signal recognition apparatus according to claim 1 , wherein
when a shape of a road on which the vehicle is travelling is a curve curving toward an oncoming lane from a viewpoint of the vehicle, the priority level assigned by the priority level assigner is higher for a traffic signal located near a current lane of travel of the vehicle than for a traffic signal located near the oncoming lane.

4. The traffic signal recognition apparatus according to claim 1 , wherein
when the traffic signal identifier identifies an advance warning traffic signal as any of the two or more traffic signals predicted to be captured in the image, the priority level assigned by the priority level assigner is higher for the advance warning traffic signal than for a rest of the traffic signals.

5. The traffic signal recognition apparatus according to claim 1 , wherein
when successfully detecting the traffic signal with the highest priority level, the traffic signal detector continues to detect the traffic signal.

6. The traffic signal recognition apparatus according to claim 1 , wherein
when not successfully detecting the traffic signal with the highest priority level, the traffic signal detector detects a traffic signal with a second highest priority level.

7. The traffic signal recognition apparatus according to claim 1 , wherein
the traffic signal detector detects the two or more traffic signals sequentially from the traffic signal with the highest priority level, irrespective of whether the traffic signal is successfully detected or not.

8. The traffic signal recognition apparatus according to claim 1 , wherein
the traffic signal detector attempts to detect each of the traffic signals which are identified by the traffic single identifier, before the priority level assigner assigns a priority level,
the priority level assigner assigns the priority level to each of the traffic signals which are identified by the traffic signal identifier and successfully detected, and
the traffic signal detector detects, in the image, the traffic signal with the highest priority level among the two or more traffic signals after the priority level is assigned.

9. A traffic signal recognition method comprising:
acquiring an image by imaging surroundings of a vehicle using an imager mounted in the vehicle;
detecting a self-position of the vehicle;
detecting, in the image, a traffic signal located around the vehicle;
identifying two or more of the traffic signal predicted to be captured in the image, based on the self-position and map information containing positional information on the traffic signals located around the vehicle; and
assigning a priority level to each of the two or more traffic signals thus identified, based on a possibility of the traffic signal being blocked out of sight, wherein
when the two or more traffic signals are identified, the traffic signal detected in the image is a traffic signal with a highest priority level among the two or more traffic signals.

Assignees

• Nissan Motor

Inventors

• Yamanoi Daiki
• Andou Toshiyuki
• Nishiuchi Hidekazu
• Matsuo Haruo
• Satoh Hiroshi

Classifications

• G08G1/095

  Traffic lights · CPC title

• G06T7/70

  Determining position or orientation of objects or cameras (camera calibration G06T7/80) · CPC title

• G08G1/09 Primary

  Arrangements for giving variable traffic instructions ({railroad crossing signals B61L; reflectors E01F, G08B}; indicating arrangements for variable information by selection or combination of individual elements G09F9/00) · CPC title

• G01C21/26

  specially adapted for navigation in a road network · CPC title

• G06K9/00825 Primary

  Physics · mapped topic