# Cognitive Car Safety Systems Autonomous Driving Start-Up NAUTO Offers After-Market Solutions By Laura McQuarrie | Published 2016-03-17 | Autos Source: Trend Hunter, https://www.trendhunter.com/trends/nauto References: [eetimes](http://www.eetimes.com/document.asp?doc_id=1328837&page_number=5) & [nauto](http://www.nauto.com/) it may be years until there are cars on the road that are manufactured and sold with deep learning technology, but NAUTO devised a solution with its [after-market safety system](https://www.trendhunter.com/trends/advanced-driverassistance-platform). The system takes the form of an app, device and a network that work together in order to transform any car into one that features the functions of some of the most high-end cars on the market. NAUTO is able to collect and process [visual data in the cloud](https://www.trendhunter.com/trends/sensor-system1) and use it in order to provide insights about what's happening on the roads and how a driver is responding. NAUTO is a [smart driving assistant](https://www.trendhunter.com/trends/advanced-vehicle-assistant) that learns all the time, but it makes a special point to give attention to both crashes and close calls that could be avoided in the future. ## Trend Insights (Trend Hunter) - Score: 2.2/10 - Popularity: 25% | Activity: 34% | Freshness: 8% - Audience gender: 70% men, 30% women - Primary generations: Millennial, Gen X - Top markets: North America ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Autos](https://www.trendhunter.com/autos) ## Key Themes ### Key Themes Behind This Trend - **After-market Safety Systems:** Disruptive innovation opportunity: Develop advanced safety systems that can be retrofitted onto existing vehicles. - **Deep Learning Technology:** Disruptive innovation opportunity: Integrate deep learning technology into autonomous driving systems to improve performance and safety. - **Smart Driving Assistants:** Disruptive innovation opportunity: Develop intelligent driving assistants that continuously learn from real-time data to enhance driving experiences. ### Where This Applies - **Automotive:** Disruptive innovation opportunity: Create new business models by offering after-market safety systems and services. - **Technology:** Disruptive innovation opportunity: Develop deep learning technology solutions to enable autonomous driving capabilities. - **Cloud Computing:** Disruptive innovation opportunity: Build cloud-based platforms for processing and analyzing visual data collected from vehicles to improve road safety. ## Related on Trend Hunter - [Autonomous Driving System Features](https://www.trendhunter.com/trends/autonomous-driving-system.md) - [AI-Powered Smart Camera Solutions](https://www.trendhunter.com/trends/smart-camera-solution.md) - [Reasoning Driver Assistance](https://www.trendhunter.com/trends/driver-assistance-1.md) - [Autonomous Car-Focused Mapping Platforms](https://www.trendhunter.com/trends/mapping-platform.md) - [Collision Avoidance Dash Cams](https://www.trendhunter.com/trends/minieye-dash-cam.md) - [Advanced Self-Driving Solutions](https://www.trendhunter.com/trends/wayve.md) - [AI-Powered Dash Cams](https://www.trendhunter.com/trends/nextbase-1.md) - [AI-Powered Dash Cams](https://www.trendhunter.com/trends/nextbase-iq.md) - [Open-Source Self-Driving Applications](https://www.trendhunter.com/trends/openpilot.md)