This presentation explores the development of autonomous vehicle architecture, focusing on the core modules of perception, decision-making, and actuation. These modules are essential for environmental data collection, decision-making, and execution of driving actions, which form the foundation of autonomous vehicles. With increasing demands on autonomous systems, the need for greater computing capacity and the integration of advanced AI technologies is becoming increasingly important.
The presentation highlights the integration of AD systems into existing vehicle infrastructures, their compatibility with CAN-Bus systems, and the transition to centralized architectures that promise improved data coherence and simplified maintenance. Future developments and challenges, such as increased computing requirements and specialized Perception components, are discussed to enhance safety and efficiency and drive the advancement of AD technologies.
- Learn how core modules enable autonomous vehicle functions like perception, decision-making, and actuation
- Understand the shift to centralized architectures for better data coherence and AI integration
- Explore challenges like rising computing demands and advanced perception components
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