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