Luyang Zhang 03-2020
Faculty: Diego Pajarito
Artificial Intelligence in Urbanism I
Artificial Intelligence in Urbanism I Preliminary research on computer vision
Overview
Artificial intelligence is widely used in today’s society, it is also applied to different degrees in various branches of urban planning. Computer vision is a branch of artificial intelligence that has made great progress in recent years, at the same time, computer vision has gradually gained importance in the analysis and prediction of cities. This time I mainly performed object detection on satellite images and street view images to study the different uses of computer object detection in different urban visual media.
Artificial Intelligence in Urbanism I Preliminary research on computer vision
Methodology
satellite images object detection source
street view images object detection source
Google Earth Pro
Google Map
training dataset
training dataset
object category
object category
machine learning library
machine learning library
example
example
DOTA 16
PyTorch
coco 2017 80
Tensorflow
Artificial Intelligence in Urbanism I Preliminary research on computer vision
Object detection
6 sites
Pick six sites in Barcelona, get ​​ their satellite image and a street view image for object detection.
Artificial Intelligence in Urbanism I Preliminary research on computer vision
Object detection site-1 satellite image
site-2 satellite image
site-3 satellite image
airplane: 9 small-vehicle: 11 large-vehicle: 1
storage-tank: 5 small-vehicle: 2
ship: 71 small-vehicle: 32 harbor: 2
site-1 street view image
site-2 street view image
site-3 street view image
plane: 6 truck: 2 boat: 1 person: 1
person: 3 skateboard: 1
boat: 14 bench: 1
Artificial Intelligence in Urbanism I Preliminary research on computer vision
Object detection site-4 satellite image
site-5 satellite image
site-6 satellite image
small-vehicle: 218 large-vehicle: 1
small-vehicle: 76 large-vehicle: 1
small-vehicle: 28 tennis court: 5 soccer-ball field: 1
site-4 street view image
site-5 street view image
site-6 street view image
car: 15
car: 11 bus: 2 truck: 1 person: 1
traffic light: 6 car: 3 bench: 1 truck:1 person: 1
Artificial Intelligence in Urbanism I Preliminary research on computer vision
Conclusion Satellite image analysis Through object detection on satellite images, I found that computer vision does have a certain degree of difficulty in detecting small and dense objects. Although it is difficult, I think object detection in satellite images is very useful.It is very helpful for the analysis of the traffic distribution of the whole region. If we acquire satellite images in different time periods and detect different types of vehicles, we can analyze the traffic distribution situation that changes with time. This analysis is difficult to do with traditional data, because traditional data itself is difficult to obtain. At the same time, not only can do object detection, but also can do semantic segmentation and so on, combined with demographic, economic, educational and other data, may find the inherent laws and problems of cities.
Street view image Analysis Compared with satellite image object detection, street view image object detection technology is more mature and simple. And the object detection of street view image is more suitable for detailed analysis in a small area, because the analysis of street view image is computer vision analysis based on human perspective. Through datialed analysis of the street view with a certain area, it is possible to obtain the inherent problems of the area and also to obtain improved guidelines. This is an important part of people-oriented urban analysis and decision-making.
Artificial Intelligence in Urbanism I Preliminary research on computer vision
Conclusion Artificial intelligence Computer vision is only one part of the application of artificial intelligence in urban planning. Combining various sensors, monitoring and other equipment, I think artificial intelligence can play an important role in detecting the real-time state of the city, performing city analysis, and predicting the change of the city. I think forecasting is very important. It helps to prepare in advance and not be caught off guard when you encounter problems. In particular, I see that the recent Corona virus is spreading rapidly around the world. If you combine the virus’s spread data with the population’s migration data, it should be possible to predict the spread of the virus, and it may be possible to do advance prevention work. More effective control of the spread of the virus. I think this sudden emergency situation should also be considered by urban planners, and artificial intelligence should play a greater role in this situation.
Artificial Intelligence in Urbanism I Preliminary research on computer vision Object detection - big picture
Artificial Intelligence in Urbanism I Preliminary research on computer vision Object detection - big picture
Artificial Intelligence in Urbanism I Preliminary research on computer vision Object detection - big picture
Artificial Intelligence in Urbanism I Preliminary research on computer vision Object detection - big picture
Artificial Intelligence in Urbanism I Preliminary research on computer vision Object detection - big picture
Artificial Intelligence in Urbanism I Preliminary research on computer vision Object detection - big picture
Artificial Intelligence in Urbanism I Preliminary research on computer vision Object detection - big picture
Artificial Intelligence in Urbanism I Preliminary research on computer vision Object detection - big picture
Artificial Intelligence in Urbanism I Preliminary research on computer vision Object detection - big picture
Artificial Intelligence in Urbanism I Preliminary research on computer vision Object detection - big picture
Artificial Intelligence in Urbanism I Preliminary research on computer vision Object detection - big picture
Artificial Intelligence in Urbanism I Preliminary research on computer vision Object detection - big picture