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This report presents technologies that have been created and integrated to achieve high speed navigation of unrehearsed terrain. The discussion is organized into three technology areas: mapping & pre-planning, hardware, and navigation software. The mapping & pre-planning component of the Red Team generated a massive, multi-data format map of the ~50,000 sq.(More)
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 p r ecision 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 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. The current(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)
~ Artificial neural networks are capable of performing the reactive aspects of autonomous driving, such as staying on the road and avoiding obstacles. This paper describes an efficient technique for training individual networks to perform these reactive driving tasks. But driving requires more than a collection of isolated capabilities. T o achieve true(More)
Providing drivers with comprehensive assistance systems has long been a goal for the automotive industry. The challenge is on many fronts, from building sensors, analyzing sensor data, automated understanding of traffic situations and appropriate interaction with the driver. These issues are discussed with the example of a collision warning system for(More)