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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, crosscountry driving, and obstacle detection. The new focus is on short-range sensing, to look all around the vehicle for safe driving.(More)
This paper serves to present our initial thoughts on the design of an architecture for highly exible, modular, and distributed precision assembly systems. Through the use of a uniied design, simulation, programming , and monitoring environment coupled with self-representing cooperative agents this architecture will signiicantly simplify the process of(More)
The detection and tracking of moving objects is an essential task in robotics. The CMU-RI Navlab group has developed such a system that uses a laser scanner as its primary sensor. We will describe our algorithm and its use in several applications. Our system worked successfully on indoor and outdoor platforms and with several different kinds and(More)
The weakest link in many mobile robots is perception. In order to build robots that are reliable and dependable and safe, we need to build robots that can see. Perception is becoming a solved problem for certain constrained environments. But for robots working outdoors, and at high speeds, and in close proximity to people, perception is still incomplete.(More)
Intelligent vehicles are beginning to appear on the market, but so far their sensing and warning functions only work on the open road. Functions such as runoff road warning or adaptive cruise control are designed for the uncluttered environments of open highways. We are working on the much more difficult problem of sensing and driver interfaces for driving(More)