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Englisch
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Beschreibung
AI at the Wheel, Engineers in Control: AI-Orchestrated Development for Software-Defined Vehicles
Software-Defined Vehicles (SDVs) demand rapid feature delivery, yet traditional V-model workflows struggle under strict functional safety and regulatory burdens. This blueprint bridges that divide, introducing Amazon Web Services' AI-Driven Development Life Cycle (AI-DLC) to automotive engineering.
Moving beyond basic code completion, AI-DLC repositions artificial intelligence as a full-lifecycle orchestrator across Inception, Construction, and Operations. Discover how to replace slow sprint rituals with rapid, iterative "Bolts" while keeping human engineering authority firmly at the gates. Learn how to navigate ISO 26262, ISO 21448 (SOTIF), and UNECE R155/R156 compliance seamlessly by generating living audit trails and end-to-end traceability as native by-products.
Using an end-to-end EV charge-scheduling example, this practical guide illustrates how to safely accelerate cloud services and AUTOSAR Adaptive middleware while strictly protecting safety-critical ASIL-C/D control boundaries. Complete with an organizational rollout roadmap and DORA-driven metrics, this essential playbook empowers software architects, engineering leads, and automotive pioneers to ship faster without compromising vehicle safety.
Software-Defined Vehicles (SDVs) demand rapid feature delivery, yet traditional V-model workflows struggle under strict functional safety and regulatory burdens. This blueprint bridges that divide, introducing Amazon Web Services' AI-Driven Development Life Cycle (AI-DLC) to automotive engineering.
Moving beyond basic code completion, AI-DLC repositions artificial intelligence as a full-lifecycle orchestrator across Inception, Construction, and Operations. Discover how to replace slow sprint rituals with rapid, iterative "Bolts" while keeping human engineering authority firmly at the gates. Learn how to navigate ISO 26262, ISO 21448 (SOTIF), and UNECE R155/R156 compliance seamlessly by generating living audit trails and end-to-end traceability as native by-products.
Using an end-to-end EV charge-scheduling example, this practical guide illustrates how to safely accelerate cloud services and AUTOSAR Adaptive middleware while strictly protecting safety-critical ASIL-C/D control boundaries. Complete with an organizational rollout roadmap and DORA-driven metrics, this essential playbook empowers software architects, engineering leads, and automotive pioneers to ship faster without compromising vehicle safety.
AI at the Wheel, Engineers in Control: AI-Orchestrated Development for Software-Defined Vehicles
Software-Defined Vehicles (SDVs) demand rapid feature delivery, yet traditional V-model workflows struggle under strict functional safety and regulatory burdens. This blueprint bridges that divide, introducing Amazon Web Services' AI-Driven Development Life Cycle (AI-DLC) to automotive engineering.
Moving beyond basic code completion, AI-DLC repositions artificial intelligence as a full-lifecycle orchestrator across Inception, Construction, and Operations. Discover how to replace slow sprint rituals with rapid, iterative "Bolts" while keeping human engineering authority firmly at the gates. Learn how to navigate ISO 26262, ISO 21448 (SOTIF), and UNECE R155/R156 compliance seamlessly by generating living audit trails and end-to-end traceability as native by-products.
Using an end-to-end EV charge-scheduling example, this practical guide illustrates how to safely accelerate cloud services and AUTOSAR Adaptive middleware while strictly protecting safety-critical ASIL-C/D control boundaries. Complete with an organizational rollout roadmap and DORA-driven metrics, this essential playbook empowers software architects, engineering leads, and automotive pioneers to ship faster without compromising vehicle safety.
Software-Defined Vehicles (SDVs) demand rapid feature delivery, yet traditional V-model workflows struggle under strict functional safety and regulatory burdens. This blueprint bridges that divide, introducing Amazon Web Services' AI-Driven Development Life Cycle (AI-DLC) to automotive engineering.
Moving beyond basic code completion, AI-DLC repositions artificial intelligence as a full-lifecycle orchestrator across Inception, Construction, and Operations. Discover how to replace slow sprint rituals with rapid, iterative "Bolts" while keeping human engineering authority firmly at the gates. Learn how to navigate ISO 26262, ISO 21448 (SOTIF), and UNECE R155/R156 compliance seamlessly by generating living audit trails and end-to-end traceability as native by-products.
Using an end-to-end EV charge-scheduling example, this practical guide illustrates how to safely accelerate cloud services and AUTOSAR Adaptive middleware while strictly protecting safety-critical ASIL-C/D control boundaries. Complete with an organizational rollout roadmap and DORA-driven metrics, this essential playbook empowers software architects, engineering leads, and automotive pioneers to ship faster without compromising vehicle safety.
Details
| Erscheinungsjahr: | 2026 |
|---|---|
| Fachbereich: | EDV |
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Thema: | Lexika |
| Medium: | Taschenbuch |
| ISBN-13: | 9798907639447 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Sunil Prasad |
| Hersteller: | Notion Press |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 229 x 152 x 11 mm |
| Von/Mit: | Sunil Prasad |
| Erscheinungsdatum: | 01.10.2026 |
| Gewicht: | 0,29 kg |