Abstract
The automotive industry is rapidly driving into a future defined by Software-Defined Vehicles (SDVs), driven by evolving consumer expectations, stringent safety mandates, and the pursuit of recurring revenue streams. Traditional automotive electrical and software architectures are proving inadequate, hindering innovation and creating cybersecurity vulnerabilities. This research investigates this transformation, focusing on the pivotal role of software and AI, enabled by advanced chip technologies, in steering this new direction. By examining industry progress and SDV models in various stages of development, the study reveals software as the central nervous system of SDVs. This paradigm shift enables seamless digital integration, mirroring connected experiences with smart devices. The decoupling of hardware and software facilitates Over-The-Air (OTA) updates, enhancing vehicle performance, adding features, and addressing security vulnerabilities without physical visits. SDVs enable personalized driving experiences and innovative business models like subscription-based services. Advanced chip technologies, including high-performance processors and sensors, along with High-Performance Computing (HPC) platforms, are essential for processing large datasets, powering AI-driven insights, Advanced Driver-Assistance Systems (ADAS), and autonomous driving functionalities. The transition to SDVs necessitates restructuring existing architectures, emphasizing cloud-based development environments, Continuous Integration/Continuous Delivery (CI/CD), and AI-powered toolchains. Robust cybersecurity protocols and ecosystem-wide collaboration are paramount for ensuring safety, interoperability, and innovation. Adherence to industry standards like AUTOSAR and ISO 26262 is crucial. In conclusion, the convergence of software, AI, and advanced semiconductor technologies is fundamentally reshaping the automotive sector, propelling it towards a future of enhanced safety, personalized user experiences, and continuous vehicle evolution. Automakers must adapt to thrive in the emerging SDV landscape.
| Original language | English |
|---|---|
| Number of pages | 1 |
| Publication status | Published - 27 May 2025 |
| Event | 2nd International Conference on Smart Innovations in Electrical Engineering - Mangalam College of Engineering, Kerala, India Duration: 27 May 2025 → 28 May 2025 https://mangalam.ac.in/icsiee25 |
Conference
| Conference | 2nd International Conference on Smart Innovations in Electrical Engineering |
|---|---|
| Abbreviated title | ICSIEE 2025 |
| Place | India |
| City | Kerala |
| Period | 27/05/25 → 28/05/25 |
| Internet address |
Bibliographical note
Information for this record is supplemented by the author(s) concerned.UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
Research Keywords
- Software-defined vehicle (SDV)
- artificial intelligence (AI)
- AI
- automotive industry
- digital transformation
- over-the-air (OTA) updates
- cybersecurity
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