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Titlebook: Computer Vision Systems; Second International Bernt Schiele,Gerhard Sagerer Conference proceedings 2001 Springer-Verlag Berlin Heidelberg 2

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41#
發(fā)表于 2025-3-28 16:59:50 | 只看該作者
42#
發(fā)表于 2025-3-28 22:13:16 | 只看該作者
43#
發(fā)表于 2025-3-29 00:15:07 | 只看該作者
Radar and Vision Data Fusion for Hybrid Adaptive Cruise Control on Highwaysd by cooperative estimation of egomotion and the dynamics of other vehicles using the lane coordinate system as common reference. Afterwards, the assignment of vehicles to lanes and the determination of the relevant vehicle for the longitudinal controller is described.
44#
發(fā)表于 2025-3-29 06:26:54 | 只看該作者
The CardEye: A Trinocular Active Vision Systemd a rich, complete 3D model of the surface. In this paper we describe the novel architecture of the system and its successful application to reconstruction of objects of varying surface characteristics. ...
45#
發(fā)表于 2025-3-29 08:41:53 | 只看該作者
Adapting Object Recognition across Domains: A Demonstrationtically from training data. In this paper we demonstrate the generality of this approach by porting ADORE to a new domain, where it controls an object recognition system that previously relied on a semantic network.
46#
發(fā)表于 2025-3-29 13:05:24 | 只看該作者
Invariants and Resolvent Polynomials,tically from training data. In this paper we demonstrate the generality of this approach by porting ADORE to a new domain, where it controls an object recognition system that previously relied on a semantic network.
47#
發(fā)表于 2025-3-29 17:42:51 | 只看該作者
48#
發(fā)表于 2025-3-29 23:01:55 | 只看該作者
https://doi.org/10.1007/978-3-030-52832-4 data-flow programming model, as the specification of data streams flowing through processing nodes, where they can undergo various manipulations. We describe the details of the FSF data and processing model that supports stream synchronization in a concurrent processing framework. We demonstrate th
49#
發(fā)表于 2025-3-30 03:00:27 | 只看該作者
50#
發(fā)表于 2025-3-30 05:57:55 | 只看該作者
https://doi.org/10.1007/978-3-030-52832-4symbolic attributes to scene objects. The behavior decision module combines this information with knowledge about its own body and behavioral capabilities to autonomously control the vehicle..The system has been integrated into the experimental vehicle VaMoRs for autonomous mobility through machine
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