Machine Learning for Autonomous Driving

About

Welcome to the 2025 Workshop on Machine Learning for Autonomous Driving at AAAI.

Autonomous vehicles (AVs) offer a rich source of high-impact research problems for the machine learning (ML) community; including perception, state estimation, probabilistic modeling, time series forecasting, gesture recognition, robustness guarantees, real-time constraints, user-machine communication, multi-agent planning, and intelligent infrastructure. Further, the interaction between ML subfields towards a common goal of autonomous driving can catalyze interesting inter-field discussions that spark new avenues of research, which this symposium aims to promote. As an application of ML, autonomous driving has the potential to greatly improve society by reducing road accidents, giving independence to those unable to drive, and even inspiring younger generations with tangible examples of ML-based technology clearly visible on local streets. All are welcome to attend! This will be the 8th event in this series. Previous events in 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 enjoyed wide participation from both academia and industry.

Attending:
• Attend in person: please register here
• Attend virtually: (TBD if possible)