An Adaptive Synthetic Environment Generation for Radar Target Simulators
- 提供方法
- 本サイト上にてダウンロード・閲覧可
- 形態
- 価格
- 一般価格(税込):¥1,100 会員価格(税込):¥880
- 文献番号
- 20215290
- 文献・情報種別
- 学術講演会予稿集(春)
No.64-21
- 掲載ページ
- 1-6(Total 6 p)
- 発行年月
- 2021年 5月
- 出版社
- (公社)自動車技術会
- 言語
- 英語
- イベント
- 2021年春季大会【オンライン開催】
書誌事項
著者(英) | 1) Prasanna Venkatesan Kannan, 2) Axel Diewald, 3) Thomas Zwick |
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勤務先(英) | 1) IPG Automotive, 2) KIT, 3) KIT |
抄録(英) | Radar Target Simulators (RTS) stimulate the Radar unit under test (RUT) with synthetic reflections. In a RTS with multiple antenna elements (antenna array), reflections from different angles can be can be simulated. In this paper, a raytracing based radar model is adapted to generate potential targets from the environment. An adaptive reduction of targets is performed using segmentation and clustering algorithms. Relevant targets from each clusters are identified, which then represent the environment for RUT through the RTS. The reduction algorithm described in this paper aims to represent the environment, taking into consideration the physical boundaries presented by the RTS. 翻訳 |