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Tracking Stationary Extended Objects for Road Mapping using Radar Measurements
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Date
2009-06-05
Author
Lundquist, Christian
Orguner, Umut
Schon, Thomas B.
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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It is getting more common that premium cars are equipped with a forward looking radar and a forward looking camera. The data is often used to estimate the road geometry, tracking leading vehicles, etc. However, there is valuable information present in the radar concerning stationary objects, that is typically not used. The present work shows how stationary objects, such as guard rails, can be modeled and tracked as extended objects using radar measurements. The problem is cast within a standard sensor fusion framework utilizing the Kalman filter. The approach has been evaluated on real data from highways and rural roads in Sweden.
Subject Keywords
Radar tracking
,
Radar measurements
,
Road vehicles
,
Geometry
,
Sensor fusion
,
Automotive engineering
,
Rails
,
Remotely operated vehicles
,
Shape
,
Laser radar
URI
https://hdl.handle.net/11511/48892
DOI
https://doi.org/10.1109/ivs.2009.5164312
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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C. Lundquist, U. Orguner, and T. B. Schon, “Tracking Stationary Extended Objects for Road Mapping using Radar Measurements,” 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48892.