Adventure Downsizing
Driving
Detection
As demand for autonomous vehicles increases, brands respond with detection tech.
Trend
What is the Driving Detection trend?
Driving Detection: As the notion of autonomous driving inches closer to reality, brands are easing consumers into the concept with advanced detection technology that decreases the need for driver intervention. A more automated experience speaks to the tech-obsessed consumer that has become accustom to tech integration to solve simple tasks and increases a widespread acceptance of autonomous technology for a society concerned with safety.
Trend themes
Themes within the Driving Detection trend
Three behaviours holding the trend togetherAutonomous Driving Technology
As demand for autonomous vehicles increases, brands are developing advanced detection technology that decreases the need for driver intervention.
Driver-Assist Technologies
Companies are creating driver-assist technologies, such as autopilot programs, traffic-jam maneuvering systems, and blind spot-monitoring SUVs, which offer semi-autonomous capabilities and increased safety features.
Pedestrian Detection Systems
Engineers are inventing highly accurate pedestrian detection systems which can detect images in stages and in turn be used in self-driving vehicles, robotics, and image search systems.
Industry implications
What the Driving Detection trend means for industry
Where the trend changes the playbookAutomotive Industry
The automotive industry can tap into autonomous driving and driver-assist technologies to create safer and more efficient vehicles.
Robotics Industry
The robotics industry can utilize pedestrian detection systems and advanced technology developed for autonomous driving to create safer and more efficient robots.
Smart Cities Industry
The smart cities industry can integrate autonomous driving technology into their infrastructure to improve traffic flow and reduce congestion.
Trend signals
Trend signals for Driving Detection
Trend score 2.9 out of 10, from popularity 38%, activity 42%, freshness 8%.
- Gen Alpha (not a primary audience)
- Gen Z
- Millennial
- Gen X
- Boomer
Evidence
Examples of the Driving Detection trend
6 featured examples from Dec 29, 2013 to Feb 11, 2016Traffic Jam-Maneuvering Systems
Bosch Autonomous Driving Technology was Introduced at CES 2015
The automotive industry can leverage Bosch's autonomous driving technology to develop self-driving cars and enhance driver experience.
Car-Monitoring Key Fobs
The BMW i8 Key Displays Vital Engine and Battery Information
The automotive industry can explore the integration of smart-key technology to enhance vehicle features and user interaction.
Blind Spot-Monitoring SUVs
This Mazda SUV Monitors Blind Spots For Increased Safety On the Road
The automotive manufacturing industry can capitalize on trends in safety technology and efficiency-boosting technology to create cutting-edge vehicles.
Autopilot Car Programs
The Tesla Autopilot Software Monitors Vehicles For Safety Reasons
Opportunity for automotive manufacturers to incorporate semi-autonomous driving features into their vehicles and stay competitive in the market.
Autonomous Chinese Cars
Baidu's Driverless Car Can Deal With Complicated Chinese Road Conditions
The automotive industry will continue to compete in the development and production of autonomous vehicles, with a focus on improved safety and expanded capabilities in complex env…
Pedestrian Detection Algorithms
This New Technology is More Accurate Than Existing Alternatives
Opportunity to integrate high-tech pedestrian detection algorithms into self-driving vehicles, enhancing safety and accuracy.