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Visualizing Routes with AI-Discovered Street-View Patterns
Third, we integrate these discovered patterns into driving route planners with new visualization techniques.
Geo-Context Aware Study of Vision-Based Autonomous Driving Models and Spatial Video Data
The visual study is seamlessly integrated with the geographical environment by combining DL model performance with geospatial visualization techniques.
Clustering Algorithms to Analyze the Road Traffic Crashes
Selecting an appropriate clustering method as well as an optimal number of clusters in road accident data is at times confusing and difficult.
Data Mining and Visualization to Understand Accident-prone Areas
In this study, we present both data mining and information visualization techniques to identify accident-prone areas, most accident-prone time, day, and month.
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