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| Charles Thorpe, Martial Herbert, Takeo Kanade, Steven Shafer, "Toward autonomous driving: the CMU Navlab. Part I - Perception," IEEE Intelligent Systems, vol. 6, no. 4, pp. 31-42, August, 1991. | |||
| BibTex | x | ||
| @article{ 10.1109/64.85919, author = {Charles Thorpe and Martial Herbert and Takeo Kanade and Steven Shafer}, title = {Toward autonomous driving: the CMU Navlab. Part I - Perception}, journal ={IEEE Intelligent Systems}, volume = {6}, number = {4}, issn = {0885-9000}, year = {1991}, pages = {31-42}, doi = {http://doi.ieeecomputersociety.org/10.1109/64.85919}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Intelligent Systems TI - Toward autonomous driving: the CMU Navlab. Part I - Perception IS - 4 SN - 0885-9000 SP31 EP42 EPD - 31-42 A1 - Charles Thorpe, A1 - Martial Herbert, A1 - Takeo Kanade, A1 - Steven Shafer, PY - 1991 VL - 6 JA - IEEE Intelligent Systems ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/64.85919
The Navlab project, which seeks to build an autonomous robot that can operate in a realistic environment with bad weather, bad lighting, and bad or changing roads, is discussed. The perception techniques developed for the Navlab include road-following techniques using color classification and neural nets. These are discussed with reference to three road-following systems, SCARF, YARF, and ALVINN. Three-dimensional perception using three types of terrain representation (obstacle maps, terrain feature maps, and high-resolution maps) is examined. It is noted that perception continues to be an obstacle in developing autonomous vehicles. This work is part of the Defense Advanced Research Project Agency. Strategic Computing Initiative.
Citation:
Charles Thorpe, Martial Herbert, Takeo Kanade, Steven Shafer, "Toward autonomous driving: the CMU Navlab. Part I - Perception," IEEE Intelligent Systems, vol. 6, no. 4, pp. 31-42, Aug. 1991, doi:10.1109/64.85919
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