T. L. Huntsberger. Sensor fusion in a dynamic environment. In Paul Schenker, editor, Proc. SPIE Symposium on Sensor Fusion V, volume 1828, pages 175--182, Boston, MA, November 1992.  Home/Search   Document Not in Database   Summary   Related Articles   Check

.... bats [28] The optic tectum in the rattlesnake directly integrates bimodal inputs (visual and thermal infrared) in a set of six specialized neurons [21] Our previous studies have indicated that these neuronal types can be used as generalized fusion filters for any pair of disparate sensory inputs [11, 12, 13]. 1 Chapter 11 Bimodal Neurons and Networks Page 2 Aside from the fact that design features in this system may be directly applicable to the engineering problem of integrating visual and infrared stimuli, another reason for selecting this particular system is that it is more accessible than ....

T. L. Huntsberger. Sensor fusion in a dynamic environment. In Paul Schenker, editor, Proc. SPIE Symposium on Sensor Fusion V, volume 1828, pages 175--182, Boston, MA, November 1992.

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T. L. Huntsberger, "Sensor fusion in a dynamic environment", Paul Schenker, editor, Proc. SPIE Symposium on Sensor Fusion V, 1828, pp. 175--182, Boston, MA, November 1992.

....However, no attempt was made to include observer motion within the framework. A follow up study included observer motion by using the uniform deformation of region properties as a robotic platform moved through the truss structure of the Space Station to derive the slice angle through an EPI cube [26]. Subsequent fusion of registered visible and range data allowed the system to track a tumbling and translating wrench for retrieval operations. The accuracy of results in our previous studies relied entirely on the quality of the initial segmentation of the images in the sequence. This chapter ....

Huntsberger, T. L. (1992b). Sensor fusion in a dynamic environment. In P. S. Schenker (Ed.), Proc. SPIE Symposium on Sensor Fusion V, Volume 1828, Boston, MA, pp. 175-182.

.... and Hilton, 1995; Huntsberger, 1996) Local rover operations are controlled, using stereo sensor and accelerometer inputs, by a three level system, which is a hybrid combination of wavelet signal processing, neural networks based on the fuzzy self organizing feature map (FSOFM) algorithm (Huntsberger and Ajjimarangsee, 1990), and the fine grained action selection hierarchical network of Rosenblatt and Payton (1989) Our previous work has demonstrated that the FSOFM network is a flexible framework for sensor processing (Huntsberger and Ajjimarangsee, 1990; Huntsberger, 1992a; Huntsberger, 1992b; Huntsberger, 1995) ....

.... on the fuzzy self organizing feature map (FSOFM) algorithm (Huntsberger and Ajjimarangsee, 1990) and the fine grained action selection hierarchical network of Rosenblatt and Payton (1989) Our previous work has demonstrated that the FSOFM network is a flexible framework for sensor processing (Huntsberger and Ajjimarangsee, 1990; Huntsberger, 1992a; Huntsberger, 1992b; Huntsberger, 1995) BISMARC provides a type of behavior based control without the need to explicitly program the sensory to action behavior mapping as in the original subsumption architecture of Brooks (1986) It also has the ability to adapt to ....

Huntsberger, T. L. (1992b). Sensor fusion in a dynamic environment. In Schenker, P. S. (Ed.), Proc. SPIE Symposium on Sensor Fusion V, volume 1828, pages 175--182, Boston, MA.

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