AI4IPoT

Call for Papers

This workshop is designed as a leading forum to explore complex challenges and opportunities in intelligent traffic systems. It covers diverse topics, including safety under adverse weather conditions, advanced scene reconstruction, visual perception for autonomous driving, multimodal sensor fusion, and behavioral analysis of traffic violations. The session aims to bring together pioneers from image processing and artificial intelligence to explore large models within intelligent transportation and autonomous driving systems. This forum encourages rich discussions on AI's role in surveillance and driver assistance, focusing on both large models and green computing strategies. The workshop facilitates dialogue between academics and industry experts to promote new ideas and explore new directions in autonomous driving and traffic management. Topics include, but are not limited to:

1. Scene Reconstruction and Visual Perception
   Advanced techniques for scene reconstruction and visual perception to improve accuracy in intelligent transportation and autonomous driving systems.
2. Multimodal Sensor Fusion
   Strategies for integrating data from multimodal sensors to enhance environmental analysis and image quality in traffic systems.
3. Safety Transportation under Adverse Weather Conditions
   Investigation of technologies that ensure vehicle safety under adverse weather conditions.
4. AI-Driven Traffic Management Systems
   Use of large models to optimize traffic flow and enhance functionalities in autonomous driving systems.
5. Sustainable and Lightweight Traffic Technologies
   Development of sustainable traffic systems using green computing and lightweight processing to reduce energy consumption.
6. Behavioral Analysis for Driving and Traffic Violations
   Analytical technologies for studying driving behaviors and detecting traffic violations.

programme

The proposed workshop will include 2 invited talks and 5 paper presentations. The workshop will be considered for a half-day meeting.

The following contributions were accepted to the ICIP AI4IPoT 2024 workshop (alphabetically ordered):
• City Traffic Aware Multi-Target Tracking Prediction with Multi-Camera
  Kanglei Peng,Tuo Dong,Wanqin Zhang,Jianhui Zhang
• Dynamic Task-oriented Prompting for Generalized Aerial Category Discovery
  Muli Yang,Huaiyuan Qin,Hongyuan Zhu
• Scenario-Adaptive Object Detection with Dual-branch Feature Pyramid Networks
  Tuo Dong,Yining Gu,Zhaoxu Zheng,Jianhui Zhang
• Robust ADAS: Enhancing Robustness of Machine Learning-Based Advanced Driver Assistance Systems for Adverse Weather
  Muhammad Zaeem Shahzad,Muhammad Abdullah Hanif,Muhammad Shafique
• Light in the Dark: Cooperating Prior Knowledge and Prompt Learning for Low-Light Action Recognition
  Qi Liu,Shu Ye