ISPAV25 is the Workshop on Innovative Approaches in Image and Signal Processing for Autonomous Vehicles organized within the IEEE International Conference on Image Processing, IEEE ICIP 2025, in the stunning city of Anchorage Alaska, USA!

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