Autonomous Intelligent Vehicles: Theory, Algorithms, and - download pdf or read online

By Hong Cheng

ISBN-10: 1447122798

ISBN-13: 9781447122791

This significant text/reference provides cutting-edge study on clever cars, overlaying not just subject matters of object/obstacle detection and popularity, but additionally points of car movement keep watch over. With an emphasis on either high-level innovations, and useful element, the textual content hyperlinks conception, algorithms, and problems with and software program implementation in clever motor vehicle examine. subject matters and lines: offers a radical creation to the improvement and most up-to-date development in clever car learn, and proposes a easy framework; offers detection and monitoring algorithms for established and unstructured roads, in addition to on-road car detection and monitoring algorithms utilizing boosted Gabor positive factors; discusses an method for a number of sensor-based multiple-object monitoring, as well as an built-in DGPS/IMU positioning strategy; examines a motor vehicle navigation technique utilizing worldwide perspectives; introduces algorithms for lateral and longitudinal car movement control.

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Extra resources for Autonomous Intelligent Vehicles: Theory, Algorithms, and Implementation (Advances in Computer Vision and Pattern Recognition)

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Safety assistance systems use the warning information to generate the expected path and control the vehicle directly. Typical systems are Forward Collision Avoidance Assistance Systems (FCAAS), ACC systems, Low Speed Following Systems (LSFS), Stop & Go systems, etc. 3. In-vehicle safety protection device for drivers and passengers. Such a system can protect drivers and passengers from the impact between humans and vehicle bodies, for example, smart airbag systems. References 1. : Fourier analysis of symbolic data: a brief review.

Vehicle Technol. 51(5), 1165–1185 (2002) 5. : CHAUFFEUR assistant: a driver assistance system for commercial vehicles based on fusion of advanced ACC and lane keeping. In: The IEEE Intelligent Vehicles Symposium, pp. 495–500 (2004). IEEE, New York 6. : A new European approach for intersection safety—the ECProject INTERSAFE. In: Proc. of the IEEE Intelligent Transportation Systems Conference, pp. 493–504 (2005) 7. : Application of driver direction control model in intelligent vehicle’s decision and control algorithm.

Now we discuss kernel functions in mean shift algorithms. The D-dimensional multivariate Gaussian kernel is 1 1 KN (x) = √ exp − x 2 2πD 2 . 42) 54 4 Road Detection and Tracking Another popular kernel is the Epanechnikov Kernel [12] KE = × (1 − x 2 ) d+2 2Cd if x < 1, otherwise. 43) Note that in the mean shift algorithm, the above two are radially symmetric kernels. Furthermore, we will use a two-dimensional kernel. 44) where h = (hs , hr ) is the kernel bandwidth, C is a constant, x s and x r are the position part and the range part of a feature vector.

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Autonomous Intelligent Vehicles: Theory, Algorithms, and Implementation (Advances in Computer Vision and Pattern Recognition) by Hong Cheng


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