US 12,482,349 B2
Driving assistance system and driving assistance method
Yu-Hung Tseng, Taipei (TW); Ping-Yao Wu, Taipei (TW); and Chia-Wei Chen, Taipei (TW)
Assigned to PEGATRON CORPORATION, Taipei (TW)
Filed by PEGATRON CORPORATION, Taipei (TW)
Filed on Apr. 26, 2023, as Appl. No. 18/307,601.
Claims priority of application No. 111119618 (TW), filed on May 26, 2022.
Prior Publication US 2023/0386325 A1, Nov. 30, 2023
Int. Cl. G08G 1/01 (2006.01); G08G 1/04 (2006.01); G08G 1/0967 (2006.01)
CPC G08G 1/0116 (2013.01) [G08G 1/0145 (2013.01); G08G 1/04 (2013.01); G08G 1/096725 (2013.01)] 11 Claims
OG exemplary drawing
 
1. A driving assistance system for navigating a vehicle comprising:
a plurality of cameras, configured to capture a plurality of regional images of a plurality of road sections of a target lane, wherein the target lane is an exit lane of an expressway or a highway;
a congestion calculation processor, configured to receive the regional images from the cameras and calculate a plurality of congestion levels corresponding to the road sections according to the regional images; and
a determination processor, configured to receive the congestion levels from the congestion calculation processor and provide a lane changing message to the vehicle according to the congestion levels,
wherein the congestion calculation processor comprises a plurality of calculators, coupled to the respective cameras,
wherein each of the calculators generates a corresponding optical flow information according to a corresponding regional image among the regional images and calculates a corresponding congestion level according to the corresponding regional image and the corresponding optical flow information, and
wherein each of the calculators determines the number of vehicles on a corresponding road section of the target lane according to a texture of the corresponding regional image, determines a traffic speed on the corresponding road section of the target lane according to the corresponding optical flow information, and calculates a congestion value of the corresponding congestion level according to complexity of the texture and an optical flux of the corresponding optical flow information.