Abstract:
As the automotive industry continues its rapid evolution toward autonomy, this document describes a prototypical Autonomous Driving Architecture (ADA) along with a promis...Show MoreMetadata
Abstract:
As the automotive industry continues its rapid evolution toward autonomy, this document describes a prototypical Autonomous Driving Architecture (ADA) along with a promising application ecosystem. It comprehensively explores fundamental components within ADA, ranging from hardware and software stack layers to regulatory and ethical considerations. Trends and challenges: The document sets the stage by detailing prevailing trends shaping autonomous driving. It navigates challenges encountered in transformation, encompassing safety imperatives, regulatory complexities, cybersecurity concerns, and societal readiness. ADA: A focal point of the discussion, ADA delineates the hierarchical layers comprising hardware, software stack layers, infrastructure, services, and application interfaces. By proscribing their interplay, ADA’s modular and scalable framework will promote the evolution of autonomous driving systems. Applications: Venturing into practical uses, the document explores diverse applications fostered by ADA’s ecosystem, from immersive in-vehicle experiences to revolutionizing mobility. Innovative technologies: At the forefront of innovation, emerging technologies such as artificial intelligence and vehicle-to-everything (V2X) communication are considered as enablers for autonomous driving and smart cars. Regulatory and ethical considerations: The document navigates the regulatory terrain governing autonomous vehicles, such as safety standards, certification protocols, and legal frameworks. In essence, this document offers a holistic view of ADA and its ecosystem, illuminating its vast potential and the challenges ahead in realizing the vision of autonomous mobility.
Date of Publication: 06 September 2024
Electronic ISBN:979-8-8557-1166-0
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=10669277
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- Index Terms
- Autonomous Vehicles ,
- Intelligence ,
- Deep Learning ,
- Actuator ,
- Vehicle Control ,
- Electric Power ,
- Automotive Industry ,
- Language Model ,
- Transport Sector ,
- Large-scale Models ,
- Artificial Intelligence Models ,
- Modular System ,
- Hardware Architecture ,
- Foundation Model ,
- Advanced Driver Assistance Systems ,
- Cockpit ,
- Computing Center ,
- Advanced Driver Assistance ,
- Service-oriented Architecture ,
- Service Layer ,
- Kernel Images ,
- Client-side ,
- Electric Vehicles ,
- Transportation Industry ,
- Edge Computing ,
- Development Of Applications ,
- Conventional Vehicles ,
- Urban Mobility ,
- Operating System ,
- Data Privacy ,
- Data Security ,
- International Collaboration
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- Index Terms
- Autonomous Vehicles ,
- Intelligence ,
- Deep Learning ,
- Actuator ,
- Vehicle Control ,
- Electric Power ,
- Automotive Industry ,
- Language Model ,
- Transport Sector ,
- Large-scale Models ,
- Artificial Intelligence Models ,
- Modular System ,
- Hardware Architecture ,
- Foundation Model ,
- Advanced Driver Assistance Systems ,
- Cockpit ,
- Computing Center ,
- Advanced Driver Assistance ,
- Service-oriented Architecture ,
- Service Layer ,
- Kernel Images ,
- Client-side ,
- Electric Vehicles ,
- Transportation Industry ,
- Edge Computing ,
- Development Of Applications ,
- Conventional Vehicles ,
- Urban Mobility ,
- Operating System ,
- Data Privacy ,
- Data Security ,
- International Collaboration
- Author Keywords