Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 5 of 5
Full-Text Articles in Engineering
Driving In Traffic: Short-Range Sensing For Urban Collision Avoidance, Chuck Thorpe, David Duggins, Jay Gowdy, Rob Maclaughlin, Christoph Mertz, Mel Siegel, Arne Suppe, Bob Wang, Teruko Yata
Driving In Traffic: Short-Range Sensing For Urban Collision Avoidance, Chuck Thorpe, David Duggins, Jay Gowdy, Rob Maclaughlin, Christoph Mertz, Mel Siegel, Arne Suppe, Bob Wang, Teruko Yata
Mel Siegel
Intelligent vehicles are beginning to appear on the market, but so far their sensing and warning functions only work on the open road. Functions such as runoff-road warning or adaptive cruise control are designed for the uncluttered environments of open highways. We are working on the much more difficult problem of sensing and driver interfaces for driving in urban areas. We need to sense cars and pedestrians and curbs and fire plugs and bicycles and lamp posts; we need to predict the paths of our own vehicle and of other moving objects; and we need to decide when to issue …
Sensor Fusion For Context Understanding, Huadong Wu, Mel Siegel, Sevim Ablay
Sensor Fusion For Context Understanding, Huadong Wu, Mel Siegel, Sevim Ablay
Mel Siegel
To answer the challenge of context-understanding for HCI, we propose and test experimentally a top-down sensor fusion approach. We seek to systematize the sensing process in two steps: first, decompose relevant context information in such a way that it can be described in a model of discrete facts and quantitative measurements; second, we build a generalizable sensor fusion architecture to deal with highly distributed sensors in a dynamic configuration to collect, fuse and populate our context information model. This paper describes our information model, system architecture, and preliminary experimental results.
Benefits Estimation Of Sensor-Friendly Vehicle And Roadway Cooperative Safety Systems, James A. Misener, Chuck Thorpe, Robert Ferlis, Ron Hearne, Mel Siegel, Joe Perkowski
Benefits Estimation Of Sensor-Friendly Vehicle And Roadway Cooperative Safety Systems, James A. Misener, Chuck Thorpe, Robert Ferlis, Ron Hearne, Mel Siegel, Joe Perkowski
Mel Siegel
An analysis was performed to estimate the potential national costs and benefits of cooperative vehicle and roadway measures to enhance the effectiveness of driver assistance systems. These cooperative measures ?query-response communication system, light emitting diode brake light messaging, radar cross section paint striping modifications, fluorescent paint for lane and other marking applications, passive amplifiers on license plates, spatial tetrahedral arrays of reflectors, and in-vehicle corner cubes ?are briefly described, along with assumptions that were made regarding performance. For the example lane departure case, the incremental nationwide effectiveness over an autonomous collision avoidance system is estimated and monetized. This was generally …
Dependable Perception For Robots, Chuck Thorpe, Olivier Clatz, David Duggins, Jay Gowdy, Rob Maclachlan, J. Ryan Miller, Christoph Mertz, Mel Siegel, Chieh-Chih Wang, Teruko Yata
Dependable Perception For Robots, Chuck Thorpe, Olivier Clatz, David Duggins, Jay Gowdy, Rob Maclachlan, J. Ryan Miller, Christoph Mertz, Mel Siegel, Chieh-Chih Wang, Teruko Yata
Mel Siegel
The weakest link in many mobile robots is perception. In order to build robots that are reliable and dependable and safe, we need to build robots that can see. Perception is becoming a solved problem for certain constrained environments. But for robots working outdoors, and at high speeds, and in close proximity to people, perception is still incomplete. Our robots need to see objects; to detect motion; and to detect which of those objects are people. In the current state of the art, this requires multiple sensors and multiple means of interpretation. This paper illustrates those principles in the context …
Tactile Sensing By The Sole Of The Foot Part Ii: Calibration And Real-Time Processing, Abhinav Kalamdani, Chris Messom, Mel Siegel
Tactile Sensing By The Sole Of The Foot Part Ii: Calibration And Real-Time Processing, Abhinav Kalamdani, Chris Messom, Mel Siegel
Mel Siegel
This paper introduces prototype experimental apparatus and the calibration and real-time signal processing required to investigate stability in standing, walking and running of humanoid robots using pressure sensing at the sole-of-the-foot contact. The system can provide very good spatial or temporal resolution and these can be traded off against each other dynamically to accommodate the instantaneous requirement, for example, sparsely sampling the whole sole during static balancing vs. densely sampling the impact region during walking or running. Dynamic variation in sampling policy during different phases of the gait is foreseen so as to optimise utilisation of the total sampling bandwidth …