Perception of traffic information is the base of the intelligent transport technology system. The transport sector has a wealth of video and picture materials that serve as good grounds for AI applications. At the moment, AI has reached a relatively stable level in simple scenarios such as license plate recognition, vehicle appearance feature identification, and traffic flow statistics. Nevertheless, from the viewpoint of the full-scale event perception, there are still noticeable issues. To begin with, concerning applications in differentiated scenarios, dependence on model customization is still widespread, which results in the capability of generalization being not enough. It is quite challenging to detect small-sample events such as fires, smoke, and object spills. Moreover, it is quite difficult to enhance the detection performance of algorithms in extreme scenarios. For example, in situations of low-illumination and low-quality such as heavy fog, thick haze, and heavy rain—situations in which accurate perception is most needed—the detection effect is it that is compromised. Besides that, AI systems show that they are highly dependent on data, and as a result, there is a heavy workload in data annotation and model training.
Large model technology can help us to a certain extent in solving the application bottlenecks of traffic perception. Large models are more versatile, accurate, and efficient as compared to others. By using distillation learning, the pre-trained knowledge of large models can be given to small models, which after fine-tuning can then be used. Thus, small models become capable of having better generalization ability for new data and tasks. In addition, the dependence of small models on data is highly reduced. Using the potential of knowledge transfer and self-supervised learning, algorithms can be very fast in their deployment and application. This, ultimately, leads to very accurate perception that covers all elements and a large number of scenarios.
FAQ – Frequently Asked Questions
1. When and where will the Expo be held?
The Expo is scheduled to take place from May 13–15, 2026, at Hall C, Xiamen International Conference and Exhibition Center (XICEC), Xiamen, China.
2. What is the exhibition scale?
The event covers an area of 40,000 m² and features 350+ companies, attracting over 30,000 professional visitors from all around the world.
3. What activities are included?
There will be more than 80 professional forums and events that will engage with the topics of smart mobility, transportation communication, safety, and sustainable development.
4. How many countries and regions are involved?
Participants from 80+ countries and regions will attend the conference, creating a global platform for intelligent transportation innovation.
5. Are there opportunities for cooperation?
That is true. With more than 1,000 global partners, the Expo is full of opportunities for business collaboration, technology exchange, and investment.
6. Who can I contact for details?
Feel free to contact the Organizing Committee through the 'Contact Us' section of the official website for further information.
