April 04 – 05, 2022, Berlin, Titanic Chaussee Berlin
Award technical global series (Europe, USA & Asia) exchange platform bringing together all stakeholders leading the development and technical future of Level 4 + autonomous vehicles. ADAS, AI, Machine Learning, Computer Vision, Imaging, LiDAR & Radar Systems, Sensor Fusion, Deep Driving, Operational Safe Systems, Testing & Validation, Simulation, Software Architectures, Smart Cities, 5G, V2X, V2V.
The most state of the art algorithms for computer vision and machine learning
Role of Deep Neural Networks (DNN) in self-driving cars, associated challenges and level of traceability
Implications of machine learning for functional safety
Implementing end-to-end learning and/or hybrid approaches & access to real-time data and decision logs
Key challenges in AI and perception technologies for autonomous vehicles
Latest research in advanced, large-scale testing of autonomous vehicles and validation methods
The challenges behind using synthetic data for validation & using virtual kilometers (simulations, HIL/SIL) as an acceptable industry validation method
When to use simulation, when not and looking at how edge cases define the development of autonomous vehicles
Scaling up autonomous vehicle system architectures
Using vehicle architectures to solve the functional safety need
From fail-safe to fail-operational architectures & flexible fusion architectures
Developing & testing of fail-operational automated driving architectures
Latest concepts, challenges, use cases & game changers to the new AUTOSAR Adaptive Platform for Connected and Autonomous Vehicles
Driving Decision-Making Approach for Autonomous Shuttles, Robotaxis & Trucking Platoons
Key challenges in the Cybersecurity of Autonomous Vehicle Platooning
Results and challenges from the early deployment of autonomous shuttles and autonomous platoons – data & future research requirements?
V2X, V2V, 5G & Connected Vehicle Technologies
Embedded Computer Vision for ADAS & Automated Driving
Testing, Simulation & Calibration of Sensors & Importance of Disengagements, Integrity, Robustness & Security
Achieving Incredible/Sufficient Level of Perception & Prediction Accuracy in Sensor Suites for Urban & Highway Driving Speeds
Mass Deployment of Sensor Suites & Entering Mass Production for L4+ Autonomous Vehicles
Value & Cost Optimization of Sensor Sets with Compromising Safety
Application of Deep Learning in Sensor Fusion, Data Fusion & Role of Radar Sensors
High-resolution maps offering context information for scene understanding
ISO 26262 & Functional Safety in Autonomous Vehicles
SOTIF & achieving functional safety for deep learning algorithms
Ensuring functional safety with AI and machine learning
Humans in Charge of Autonomous Testing Situations & Safety Testing on the Road
Scaling embedded development teams & integrating systems with mixed protocols and interoperability before hardware exists
