Intelligent transportation systems collect, process, analyze and use data to resolve traffic problems, and increase driver safety and enhance mobility.
The vehicles of the future can be more efficient and much more comfortable for drivers by using new technologies based on Artificial Intelligence. This workshop aims to analyze the latest developments and technologies used for the perception of the road environment and the control of intelligent vehicles.
Topics of interest for IA-SIT 20/21 include, but are not limited to, the following:
- Machine Learning
- Data Merging
- Intelligent Vehicles
- Intelligent Agents and Multi-Agent Systems
- Information Processing
- Computer Vision
- Virtual assistants
- Smart Cities
- Extraction of traffic variables with intelligent systems
- Deep Learning techniques for information processing
- Feature selection techniques for the application of ML
Both theoretical and practical contributions are accepted.