The Workshop on Innovative Approaches in Image and Signal Processing for Autonomous Vehicles, held at the IEEE International Conference on Image Processing (ICIP 2025) in Alaska, Usa, is organized as part of the IEEE SPS ASI activities.
CALL FOR PAPERS:
Explainable AI (xAI), incremental learning, and sophisticated image and signal processing are essential for enhancing the performance, reliability, and safety of autonomous vehicles (AVs) as they develop further. Conventional AV systems frequently use static models, which might not be able to effectively adjust to novel surroundings or deal with the dynamic nature of actual driving situations. Additionally, to maintain transparency and confidence in the decision-making processes, AI models in autonomous cars increasingly need to be interpretable. The purpose of this workshop is to bring together engineers, researchers, and business experts to examine how explainable AI and incremental learning may advance image and signal processing methods for autonomous vehicles.
The workshop will cover a wide range of subjects, including autonomous systems engineering, robotics, AI ethics, computer vision, and machine learning. Each of these areas represents a rapidly evolving field with its own set of challenges, research questions, and technological innovations. Focused conversations and the chance to delve deeper into the particular subtleties and new trends within each of these areas—discussions that might not receive the same degree of attention at the general ICIP conference—are made possible by a dedicated workshop. Incremental learning, particularly in the context of autonomous vehicles, is a niche subject that involves the development of algorithms capable of adapting to new data streams without requiring complete retraining of the model.
Important dates:
Paper Submission Deadline: 28 May 2025
Paper Acceptance Notification: 25 June 2025
Final Paper Submission Deadline: 2 July 2025
Author Registration Deadline: 16 July 2025
Workshop website: https://sites.google.com/view/ispav25
ISPAV25 is technically co-sponsored by IEEE SPS and IEEE ASI