This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics and features: presents a thorough introduction to the development and latest progress in intelligent vehicle research, and proposes a basic framework; provides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor features; discusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approach; examines a vehicle navigation approach using global views; introduces algorithms for lateral and longitudinal vehicle motion control.We calibrate the sensors in our system, and it is normally the case that it needs many manual operations. Needless to say, joint ... 46a51 (2006) 5. ... Kawasaki, N., Kiencke, U.: Standard platform for sensor fusion on advanced driver assistance system using Bayesian network. In: Proc. of ... 250a255 (2004) 11. Kolodko, J.
|Title||:||Autonomous Intelligent Vehicles|
|Publisher||:||Springer Science & Business Media - 2011-11-15|