Podcast: Creating an Autonomous Driving Ecosystem
Podcast: Creating an Autonomous Driving Ecosystem
Self-driving vehicles will require an intelligent connected network to drive safely around town. These networks will include smart sensing, artificial intelligence, and remote monitoring.
Self-driving cars are some of the fastest and smartest computers today. They are equipped with advanced cameras, lidar, smart sensors, machine learning, and AI-voice recognition software. However, an autonomous vehicle cannot operate alone. Secure and smart infrastructure is needed to support these robots on wheels. Kevin Vincent, director of the Center of Connected and Autonomous Automotive Research at Coventry University, highlights how cities can create an ecosystem for self-driving vehicles and how it may impact our society.
Listen to more episodes of ASME TechCast on your favorite podcast app:
Listen to more episodes of ASME TechCast on your favorite podcast app:
Related Content
Exoskeleton Control Improved Through Machine Learning
Oct 22, 2024
Special control software controls the electric motors so that the exoskeleton can match its movements to the patient’s intention. A machine learning algorithm may provide better control.
Autonomous Freight Takes to the Rail, Road, Sea, and Air
Oct 1, 2024
Engineers are launching companies that utilize driverless trucks, trains, boats, and drones to ship and deliver goods. They are already improving supply chains.
Researchers to Create a Digital Library for Aircraft Parts
Sep 30, 2024
Some airframes are many decades old. Scanning and digitizing components could enable small manufacturers to produce replacement parts.
Microscale Hydraulic Gripper Features Soft Touch
Sep 18, 2024
The shape memory polymer that makes up the gripper allows it to be more efficient than a purely hydraulic system.