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Research Focus
Smart mobility has become an increasingly present theme in sustainability agendas in response to the impacts of transportation systems in cities. In order to develop new and revolutionary way of moving people and goods with technologies that are faster, cleaner, more accessible, and less expensive than traditional options, Continental-NTU Corporate Lab pool the best minds in autonomous robotics, navigation, artificial intelligence (AI), cybersecurity, smart materials, sensing, and communication technologies from NTU and Continental to develop technologies and services that will impact future mobility.
Over the next five years, Continental-NTU Corporate Lab is going to work on 16 industry-focused projects under three research thrusts:
This research thrust focuses on developing safe, reliable, efficient robotic and navigation technologies to enable delivery robots, autonomous and electric vehicles to operate effectively in both indoor and outdoor environments, including urban settings under different weather conditions.
Our research focus cover the following areas:
Robotic and Autonomous Navigation
Operation and Maintenance Optimization
Vehicle-to-Vehicle Communication
Collaborative Human and Machine Interaction
Cognitive Navigation
Safety Technologies
This research thrust focuses on applying artificial intelligence to code development and solutions in order to enhance the performance, security and user experience of future mobility applications.
Our research focus cover the following areas:
Artificial Intelligence
Cyber-Security
Interactive Human and Machine Interface
Computer Vision for Safety and Positioning
Software Engineering
Cabin Monitoring
This research thrust focuses on developing advanced sensors, touch-responsive human-machine interfaces with novel materials, and connectivity solutions to enhance the safety and comfort of users in future mobility applications.
Our research focus cover the following areas:
Sensor Development
Wireless Communication Technologies
Novel Materials for Next Generation Human-Machine Interface
