Developing Safe Software for Autonomous Systems
- Delivery
- Provide download link
- Format
- Price
- Non-members (tax incl.)：￥6,600 Members (tax incl.)：￥5,280
- Paper/Info type
- SAE Paper
No.2022-01-0108
- Pages
- 1-14(Total 14 p)
- Date of publication
- Mar 2022
- Publisher
- SAE International
- Language
- English
- Event
- WCX SAE World Congress Experience 2022
Detailed Information
| Author(E) | 1) Stephen Di Camillo, 2) Atef Ghribi |
|---|---|
| Affiliation(E) | 1) LDRA Technologies, Inc., 2) Intland Software GmbH |
| Abstract(E) | In recent years, the amount of embedded software in automobiles has grown exponentially. At the same time, technologies such as artificial intelligence, machine learning, internet of things, and autonomous controls are being deployed to make vehicles ‘smarter’ while making it more challenging to ensure they are safe and secure. In particular, the global advanced driver assistance system (ADAS) market is growing rapidly. Government requirements for safer vehicles combined with customer demands for increased autonomy are driving this growth. SAE J3016 defines six levels of autonomy, ranging from Level 0 (no automation) to Level 5 (Full Automation). While no vehicle on the road today operates at Level 5, new technologies enable higher levels of autonomy, and established technologies are being quickly introduced across all makes and models of vehicles. It should come as no surprise that automated driving systems (ADSs) tend to fall i |
