Omni-Directional Obstacle Extraction Based on Occupancy Grid Maps for Autonomous Vehicle
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- Suganuma Naoki
- 金沢大学理工研究域
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- Uozumi Takahiro
- 金沢大学大学院自然科学研究科
Bibliographic Information
- Other Title
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- 自動車の自律走行のためのOccupancy Grid Maps に基づく全方位障害物検出
- ジドウシャ ノ ジリツ ソウコウ ノ タメ ノ Occupancy Grid Maps ニ モトズク ゼンホウイ ショウガイブツ ケンシュツ
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Description
Recently, technologies related to autonomous vehicles are researched all over the world. For such autonomous vehicles, it is important to extract small obstacles such as curb stone, and it is also necessary to recognize drivable area in omni-direction not affected by occlusions. In this report, we propose obstacle extraction method based on Occupancy Grid Maps to overcome these problems. Moreover, the system overview of our autonomous vehicle will be shown and result of proposed algorithm at a demonstration event in the Tokyo motor show 2011 will also be shown.
Journal
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- Transactions of Society of Automotive Engineers of Japan
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Transactions of Society of Automotive Engineers of Japan 44 (3), 967-972, 2013
Society of Automotive Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390282679589674880
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- NII Article ID
- 130006319243
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- NII Book ID
- AN00105913
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- ISSN
- 18830811
- 02878321
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- NDL BIB ID
- 024795624
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
- CiNii Articles
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- Abstract License Flag
- Disallowed