High-integrity Localization
for Automated Vehicles

About the Workshop

The concept of integrity was firstly formalized and developed for GNSS in the aviation domain for Safety-of-Life applications. It is defined as “a measure of trust which can be placed in the correctness of the information supplied by the total system”. For highly automated vehicles (e.g., SAE L3 and above), integrity is crucial for safe navigation. The integrity requirement concerns the system’s capability to provide statistical guarantees that a computed piece of information is not misleading and more particularly that it will not mislead the system into a hazardous situation. That is, the system needs to model and bound the uncertainty of its estimates and its validity in terms of the operational domain and conditions. For AVs to drive safely in varying environments, they need to gather and evaluate localization information from different sensors, such as LiDAR, IMU, GNSS, and camera. The navigation of land vehicles is more complex than aviation applications. AVs require accurate positioning to operate, e.g., decimeter-level for highways and centimeter-level for urban environments. The randomness encountered in road networks like changes in the infrastructure, weather conditions, sensor masking and occlusions make high-integrity localization more difficult. Moreover, interference, such as occlusions, by neighboring road users like pedestrians, cyclists, and other vehicles also needs to be continuously considered during the localization. Currently, there is an extensive use of position estimates in passenger vehicles, beyond driver guidance, the introduction of actuating driving assistance systems has intensified the reliance on localization systems.

The goal of the i.c.sens iLoc workshop is to emphasize the importance of integrity in AVs and to address the scientific challenges of managing localization integrity for vehicle navigation in complex traffic environments including its use as part of perception tasks.

iLoc Worksop History

• 2nd Edition of iLoc workshop, Bilbao, Spain 2023

• 1st Edition of iLoc workshop, Aachen, Germany 2022

• IEEE IV2025

This workshop is part of a joint workshop "Navigating Uncertainty: High-Integrity Localization, Mapping, and Perception for Autonomous Driving" held at the 36th IEEE Intelligent Vehicles Symposium, together with the following two workshops:

• Occupancy Grid for Autonomous Driving

• Bridging the Gap Between Map-based and Map-less Driving

Joint Workshop Program

Session 1: High-Integrity Localization for Automated Vehicles

Session 2: Occupancy Grids for Autonomous Driving

Session 3: Bridging the Gap between Map-based and Map-less Driving

Continuation of Session 2: Occupancy Grids for Autonomous Driving

Invited Speakers of iLoc Workshop

 Organization Team