20th – 22nd April 2021 - online
We are Happy to announce, that PRYSTINE project was presented in Connected and Automated Driving Conference EUCAD21.
EUCAD 2021 is a high-level and evidence-based conference where policy challenges meet innovative solutions to deliver on societal benefits. The event is the only conference in Europe that brings together political leaders from the European Commission and Member States with high-level representatives of industry, knowledge institutes and road authorities to exchange knowledge and experience on the most recent technological developments and policies in the area of CCAM.
PRYSTINE project was presented with online booth, presentations, and engaging project videos, that you can watch below.
Video 1: PRYSTINE SC2 Demo 2.2 Drive by Wire Car.
A novel approach to software component integration: developed COMPAGE framework (fail-operational system component management framework) and AI-based algorithms capable of identifying faulty sensors by analyzing data of different types, e.g. LIDAR, Radar, cameras.
Video 2: PRYSTINE SC2 Demo 2.3 Data Fusion and Fall back.
A fully integrated security engineering process for realizing secure autonomous driving and a trust model for evaluating the trustworthiness of sensors data with the data fusion module for improving the accuracy of object detection and tracking.
Video 3: PRYSTINE SC2 Demo 2.4 Passenger Vehicle for Low Speed Autonomy.
Fusion algorithms and perception components to be utilized by SAE Level 3+ equivalent autonomous parking and low speed autonomy solutions (related to Automated Parking Vale Systems) providing fail-operationality and robustness by the utilization and fusion of multiple sensor sources including cameras and Radar.
Video 4: PRYSTINE SC3 Demo 3.1, 3.2, 3.3.
Demo 3.1 E/E architecture demonstrator for automotive electronics enabling AD.
Demo 3.2 Simulation, development and validation framework for fail-operational sensor-fusion E/E architecture
Demo 3.3 Dynamically shaped, reliable mobile communication
Video 5: PRYSTINE SC7 Demonstrators 7.1, 7.2, 7.3
Demonstrator #7.1: Shared control to study driver interaction with automated vehicles considering the driver state and the driving environment (DiL Simulator).
Demonstrator #7.2: Traded control to study automatic transitions between different levels of automation in complex environments, while cooperating with a bus for enhanced perception (V2V).
Demonstrator #7.3: Autonomous control to study AI-based decision algorithms for highly automated vehicles in highway and urban scenarios, considering a traffic state prediction network.
