<div dir="ltr"><p style="box-sizing:border-box;margin:0px 0px 10px;padding:0px;font-family:Arial;font-size:12px;line-height:1.6;max-height:1000000px">Dear Colleagues,</p><p style="box-sizing:border-box;margin:0px 0px 10px;padding:0px;font-family:Arial;font-size:12px;line-height:1.6;max-height:1000000px">Autonomous driving has attracted a multitude of research from the signal processing, computer vision and machine/deep-learning communities. The integration of signal processing, machine learning and advanced sensing technologies is a key enabler for self-driving cars to operate in real-world scenarios. The different types of sensors used, such as cameras, LiDAR, GPS, radars, and ultrasound, and the ability to operate using multiple modalities offer a wide variety of impactful research problems. Machine learning research problems intersecting with the aforementioned topics including perception, probabilistic modeling, future prediction, path planning, and reinforcement-learning-based autodriving are also investigated in the autonomous driving research. Finally, going beyond benchmarks and deploying in real-world scenarios requires robustness, the ability to operate with out-of-distribution scenarios and to take safety into consideration. All the above has formed different research topics that are of interest to the autonomous driving community in both academia and industry, and in the intersection between signal processing and machine learning.</p><p style="box-sizing:border-box;margin:0px 0px 10px;padding:0px;font-family:Arial;font-size:12px;line-height:1.6;max-height:1000000px">The<span class="gmail-Apple-converted-space"> </span><a href="https://www.mdpi.com/journal/remotesensing/special_issues/75B73YS791" target="_blank">special issue</a><span class="gmail-Apple-converted-space"> </span>welcomes open-call submissions on the state-of-the-art current and emerging technologies and methodologies in multi-modal learning, multi-sensor utilization, and the interplay between signal-processing- and learning-based approaches.</p><p style="box-sizing:border-box;margin:0px 0px 10px;padding:0px;font-family:Arial;font-size:12px;line-height:1.6;max-height:1000000px">Remote Sensing Journal<span class="gmail-Apple-converted-space"> </span><b>Impact Factor is 5.349</b>. Deadline for manuscript submissions: <b style="box-sizing:border-box;line-height:inherit;max-height:1000000px">30 June 2023</b><br></p><p style="box-sizing:border-box;margin:0px 0px 10px;padding:0px;font-family:Arial;font-size:12px;line-height:1.6;max-height:1000000px"><br></p><p style="box-sizing:border-box;margin:0px 0px 10px;padding:0px;font-family:Arial;font-size:12px;line-height:1.6;max-height:1000000px">Prospective authors are welcome to submit original research (not published or currently under consideration by any other journal or conference) and technical papers in the field. Topics in autonomous driving covered include:</p><ul style="box-sizing:border-box;margin:10px 0px 1.25rem 1.1rem;padding:0px;font-family:Arial;font-size:12px;line-height:inherit;list-style-position:outside;max-height:1000000px"><li style="margin:0px 0px 10px;box-sizing:border-box;padding:0px;max-height:1000000px;break-inside:avoid">X sensor (camera, LiDAR, radar, etc.)-based perception;</li><li style="margin:0px 0px 10px;box-sizing:border-box;padding:0px;max-height:1000000px;break-inside:avoid">Multi-modal fusion and data fusion for autonomous driving;</li><li style="margin:0px 0px 10px;box-sizing:border-box;padding:0px;max-height:1000000px;break-inside:avoid">Probabilistic modeling with multi-modal sensory input;</li><li style="margin:0px 0px 10px;box-sizing:border-box;padding:0px;max-height:1000000px;break-inside:avoid">High-fidelity simulation for different sensory data;</li><li style="margin:0px 0px 10px;box-sizing:border-box;padding:0px;max-height:1000000px;break-inside:avoid">Robustness to out-of-distribution scenarios;</li><li style="margin:0px 0px 10px;box-sizing:border-box;padding:0px;max-height:1000000px;break-inside:avoid">Benchmarks and datasets with different sensory data;</li><li style="margin:0px 0px 10px;box-sizing:border-box;padding:0px;max-height:1000000px;break-inside:avoid">Interpretability of multi-modal autodriving models;</li><li style="margin:0px 0px 10px;box-sizing:border-box;padding:0px;max-height:1000000px;break-inside:avoid">Reinforcement-learning-based autodriving systems;</li><li style="margin:0px 0px 10px;box-sizing:border-box;padding:0px;max-height:1000000px;break-inside:avoid">Enhanced path planning with sensory data processing;</li><li style="margin:0px 0px 10px;box-sizing:border-box;padding:0px;max-height:1000000px;break-inside:avoid">Human factors and safety in autodriving.</li></ul><p style="box-sizing:border-box;margin:0px 0px 10px;padding:0px;font-family:Arial;font-size:12px;line-height:1.6;max-height:1000000px">Dr. Mennatullah Siam<br style="box-sizing:border-box;max-height:1000000px">Dr. Xinshuo Weng<br style="box-sizing:border-box;max-height:1000000px"><span style="box-sizing:border-box;font-style:italic;line-height:inherit;max-height:1000000px">Guest Editors</span></p><p style="box-sizing:border-box;margin:0px 0px 10px;padding:0px;font-family:Arial;font-size:12px;line-height:1.6;max-height:1000000px"><span style="box-sizing:border-box;font-style:italic;line-height:inherit;max-height:1000000px">Best Regards,</span></p></div>