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Urban Driving Assistance Systems

Clean the Sky - Positive Eco Trends & Breakthroughs

GM is Working to Improve Super Cruise for Driving in Cities

— May 23, 2020 — Autos
General Motors indicated that it is currently working towards upgrading its Super Cruise system to be compatible with driving in urban environments. Super Cruise is a hands-free driving assistance system, that currently only works for highway driving. The new features would come as a new system named ‘Ultra Cruise.’ Extending the capabilities to work in urban environments could be a popular feature, as it would closely mimic the autonomous driving experience.

Doug Parks, the VP of global product development for GM, spoke about the Ultra Crusie system, "We're trying to take that same capability off the highway. Ultra Cruise would be all of the Super Cruise plus the neighborhoods, city streets and subdivisions. So Ultra Cruise's domain would be essentially all driving, all the time.”


Image Credit: General Motors
Trend Themes
1. Urban Driving Assistance Systems - Disruptive innovation opportunity: Developing advanced AI algorithms and sensor technology to enable hands-free driving in urban environments.
2. Ultra Cruise - Disruptive innovation opportunity: Creating a comprehensive driving assistance system that combines Super Cruise with the ability to navigate city streets and subdivisions.
3. Autonomous Driving Experience - Disruptive innovation opportunity: Enhancing the autonomous driving experience by enabling hands-free driving in both highway and urban environments.
Industry Implications
1. Automotive Technology - Disruptive innovation opportunity: Advancing the development of advanced driving assistance systems to improve safety and convenience in urban driving.
2. Artificial Intelligence - Disruptive innovation opportunity: Leveraging AI algorithms and machine learning to enable autonomous capabilities for urban driving assistance systems.
3. Sensor Technology - Disruptive innovation opportunity: Innovating sensor technology to accurately detect and respond to complex urban driving scenarios in real-time.
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