Research Questions of Interest:

• What are the leading factors for high-integrity localization for AVs, e.g., road geometry, vehicle dimension, sensor accuracy, environmental factors, vehicle motion, and other road users?
• Which multi-sensor architectures and data fusion methods are best suited for autonomous driving?
• How to estimate the uncertainty and integrity risks applicable to model-based and data-driven approaches to localization?
• How can maps be used to increase localization integrity?
• How to combine a vehicle kinematic model and road geometry to improve integrity estimation? Is the sequence of AV’s maneuver tasks of driving from position A to B well defined?
• What are the integrity metrics needs for AVs? That is, in longitudinal, lateral, vertical (e.g., multi-level road interchanges), orientation (pitch, roll, and yaw angles).
• Are there any emergent standards applicable to the estimation of integrity in the Intelligent Transportation field?
• How to verify experimentally the system localization integrity when considering low risks? E.g., down to 10e-5 or below, and under numerous driving conditions?

Topics of Interest:

• Uncertainty propagation and updates while an AV drives in different environments.
• Novel algorithm and requirement definition for integrity, continuity, availability, and accuracy evaluation for intelligent transportation
• Map reference with its own integrity measure, including 2D digital map, high-definition map, 3D map/3D city model, even more precise survey map with both dynamic and static objects.
• Quantification and representation of the models’ aleatoric (or statistical) and epistemic (or systematic) uncertainties for both environmental perception and localization.
• Uncertainty estimation of LiDAR point clouds registration and imagery data processing in e.g., probabilistic and deep learning-based models.
• State-of-the-art deep learning multi-modal data fusion for e.g., GNSS, LiDAR point clouds, images, 3D map localization information with integrity estimation.

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• Meet the 2nd iLoc organization team →