Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- 802.11 localization (1)
- Agricultural applications (1)
- Automated optimization (1)
- Automotive-grade CMOS camera (1)
- Autonomous vehicle applications (1)
-
- Calendar (1)
- Census transform algorithm (1)
- Circuit datapaths (1)
- Clustering algorithms (1)
- Crowdsourcing (1)
- Depth maps (1)
- Error constraints (1)
- FPGA (1)
- FPGA datapath precision optimization (1)
- Image processing kernels (1)
- Interactionless (1)
- Least significant bit problem (1)
- Localization (1)
- Location measurement (1)
- Location representation (1)
- Location-based services (1)
- Low-cost stereo vision implementation (1)
- Signal processing (1)
- Wireless LAN (1)
Articles 1 - 3 of 3
Full-Text Articles in Physical Sciences and Mathematics
Low-Cost Stereo Vision On An Fpga, Chris A. Murphy, Daniel Lindquist, Ann Marie Rynning, Thomas Cecil, Sarah Leavitt, Mark L. Chang
Low-Cost Stereo Vision On An Fpga, Chris A. Murphy, Daniel Lindquist, Ann Marie Rynning, Thomas Cecil, Sarah Leavitt, Mark L. Chang
Mark L. Chang
We present a low-cost stereo vision implementation suitable for use in autonomous vehicle applications and designed with agricultural applications in mind. This implementation utilizes the Census transform algorithm to calculate depth maps from a stereo pair of automotive-grade CMOS cameras. The final prototype utilizes commodity hardware, including a Xilinx Spartan-3 FPGA, to process 320times240 pixel images at greater than 150 frames per second and deliver them via a USB 2.0 interface.
Automated Least-Significant Bit Datapath Optimization For Fpgas, Mark L. Chang, Scott Hauck
Automated Least-Significant Bit Datapath Optimization For Fpgas, Mark L. Chang, Scott Hauck
Mark L. Chang
In this paper, we present a method for FPGA datapath precision optimization subject to user-defined area and error constraints. This work builds upon our previous research which presented a methodology for optimizing the dynamic range- the most significant bit position. In this work, we present an automated optimization technique for the least-significant bit position of circuit datapaths. We present results describing the effectiveness of our methods on typical signal and image processing kernels.
Interactionless Calendar-Based Training For 802.11 Localization, Mark Chang, Andrew J. Barry, Noah L. Tye
Interactionless Calendar-Based Training For 802.11 Localization, Mark Chang, Andrew J. Barry, Noah L. Tye
Mark L. Chang
This paper presents our work in solving one of the weakest links in 802.11-based indoor-localization: the training of ground-truth received signal strength data. While crowdsourcing this information has been demonstrated to be a viable alternative to the time consuming and accuracy-limited process of manual training, one of the chief drawbacks is the rate at which a system can be trained. We demonstrate an approach that utilizes users' calendar and appointment information to perform interactionless training of an 802.11-based indoor localization system. Our system automatically determines if a user attended a calendar event, resulting in accuracy comparable to our previously published …