Titlebook: Neural Network Perception for Mobile Robot Guidance; Dean A. Pomerleau Book 1993 Springer Science+Business Media New York 1993 Navigation.

无限

书目名称Neural Network Perception for Mobile Robot Guidance影响因子(影响力)




书目名称Neural Network Perception for Mobile Robot Guidance影响因子(影响力)学科排名




书目名称Neural Network Perception for Mobile Robot Guidance网络公开度




书目名称Neural Network Perception for Mobile Robot Guidance网络公开度学科排名




书目名称Neural Network Perception for Mobile Robot Guidance被引频次




书目名称Neural Network Perception for Mobile Robot Guidance被引频次学科排名




书目名称Neural Network Perception for Mobile Robot Guidance年度引用




书目名称Neural Network Perception for Mobile Robot Guidance年度引用学科排名




书目名称Neural Network Perception for Mobile Robot Guidance读者反馈




书目名称Neural Network Perception for Mobile Robot Guidance读者反馈学科排名

Ambiguous

Analysis of Network Representations,system’s limitations and the reasons underlying them are prerequisites for improving the system’s performance. As a result, I have spent considerable time and effort developing techniques for analyzing a network’s internal representations.

毗邻

Other Applications - The SM2, The ease with which these techniques can be adapted to a new domain underscores the point made in the next chapter, that the learning power of artificial neural networks can effectively eliminate much of the difficulty involved in developing robust vision-based autonomous guidance systems.

arthroscopy

Book 1993 distance traveled by an autonomous robot without interruption: 21.2 miles along a highway, in traffic, at speedsofup to 55 miles per hour. Pomerleau‘s work has received worldwide attention, including articles in Business Week (March 2, 1992), Discover (July, 1992), and German and Japanese science m

Osmosis

拖网

Driving Results and Performance,panying the description of each situation is an analysis of the characteristics that made the domain interesting or difficult, and an outline of any situation-specific steps required to facilitate driving in that domain.

缺乏

Conclusion,nsor input for distances of up to 21.2 miles at speeds up to 55 miles/hour. ALVINN has driven in a wider variety of situations than any previous autonomous navigation system, including following single and multi-lane roads, avoiding obstacles and tracking prominent terrain contours such as rows of parked cars.

Crohns-disease

Other Vision-based Robot Guidance Methods,In the first section of this chapter, I expand the comparison between the connectionist methods I’ve developed and non-learning techniques others have employed for autonomous navigation. As was the case in the walking robot domain, ALVINN is shown to have distinct advantages relative to hand-programmed systems for autonomous driving.

胆小懦夫

0893-3405 record for distance traveled by an autonomous robot without interruption: 21.2 miles along a highway, in traffic, at speedsofup to 55 miles per hour. Pomerleau‘s work has received worldwide attention, including articles in Business Week (March 2, 1992), Discover (July, 1992), and German and Japanese

无所不知

Introduction,thms for processing sensor information. In this book I describe techniques which enable artificial neural networks (ANNs) to learn the visual processing required for mobile robot guidance. The power and flexibility of these techniques are demonstrated in two domains, wheeled vehicle navigation, and