Fig 1.
The flow chart of IEST working principle.
Fig 2.
The flow chart of image recognition and image process.
Fig 3.
The red area distribution.
Fig 4.
Other color area distribution.
Fig 5.
The comparison images before and after traffic lights color recognition.
Fig 6.
The extraction of the target region with the use of the halo effect.
Fig 7.
Comparison images before and after denoising.
Fig 8.
The image segmentation based on the projection method.
Fig 9.
The gradient normalization errors of these samples.
Table 1.
The statistics of a road vehicle state.
Fig 10.
The relation between ρ and the number of the car stops.
Fig 11.
The software interface of IEST.