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Project Duration: 1.1.2020 bis 31.12.2022
In the project "Integrated LiDAR Sensors for Safe & Smart Automated Mobility - iLIDS4SAM", eleven leading Austrian partners from industry and science are researching a high-resolution and robust MEMS-based LiDAR sensor for autonomous operation in the smart mobility sector under the leadership of Infineon Technologies Austria AG.
Autonomous driving should be safe and reliable. Potentially dangerous situations must be detected in advance. For this, a comprehensive, correct and rapid perception of all events in the close vicinity of a vehicle on the road or on the track is the basic prerequisite. The goal is to develop a powerful and at the same time cost-effective laser sensor system with "deep learning" data management. This will advance the vehicle to an intelligent and anticipating road user. The compact sensor system will be tested in urban road and rail traffic as well as in agricultural applications to demonstrate integration and practical performance.
The competence center Vienna Institute for Safety and Systems Engineering (VISSE) has the task of identifying critical situations in defined driving scenarios and deriving the technological safety requirements on the basis of SoS hazard assessments. These provide the basis for validating the performance of the sensor on the basis of selected use cases (e.g. railroad crossing, station) in rail traffic. . The defined use cases are validated in the Open Track Test Lab (OTTL) of company partner TeLo GmbH and on a real ÖBB line.
• Safety analysis of critical traffic situations with autonomous vehicles
• Definition of requirements for safe sensor systems for autonomous driving
• Generation of safety proof for the sensor system in defined use cases
• Exploit synergies for the people mover concept in the TARO project
Research Staff
