Networked Roadside Perception Units for Autonomous Driving

Perception for collision avoidance and autonomous driving

1 Abstract The Navlab group at Carnegie Mellon University has a long history of development of automated vehicles and intelligent systems for driver assistance. The earlier work of the group concentrated on road following, cross-country driving, and obstacle detection. The new focus is on short-range sensing, to look all around the vehicle for safe driving. The current system uses video sensing...

Learning Affordance for Direct Perception in Autonomous Driving

In the past decade, significant progress has been made in autonomous driving, and many novel computer vision methods have been proposed for vision-based autonomous driving. To date, most of these systems can be categorized into two major paradigms: mediated perception approaches and behavior reflex approaches. Mediated perception approaches [7] involve multiple sub-components for recognizing dr...

Towards connectivity-aware deployment and adjustment for roadside units

File downloading oriented Roadside Units deployment for vehicular networks

Article history: Available online 7 May 2013

Processes Driving the Networked Economy

together to deliver products and solutions in the global marketplace. The trends for virtual corporations and e-commerce, along with increased economic global networking, are real and will accelerate. Using the Internet and the Web as the primary communications, interoperability, and integration platform, information systems will play an increasingly critical role in providing a competitive edg...