陈伟, 刘飞, 梁庆仟, 王静, 陈静. 车载360°态势感知系统研究[J]. 应用光学, 2018, 39(2): 165-168. DOI: 10.5768/JAO201839.0201001
引用本文: 陈伟, 刘飞, 梁庆仟, 王静, 陈静. 车载360°态势感知系统研究[J]. 应用光学, 2018, 39(2): 165-168. DOI: 10.5768/JAO201839.0201001
Chen Wei, Liu Fei, Liang Qingqian, Wang Jing, Chen Jing. Research on vehicle 360° situational awareness system[J]. Journal of Applied Optics, 2018, 39(2): 165-168. DOI: 10.5768/JAO201839.0201001
Citation: Chen Wei, Liu Fei, Liang Qingqian, Wang Jing, Chen Jing. Research on vehicle 360° situational awareness system[J]. Journal of Applied Optics, 2018, 39(2): 165-168. DOI: 10.5768/JAO201839.0201001

车载360°态势感知系统研究

Research on vehicle 360° situational awareness system

  • 摘要: 为了适应复杂的战场空间,提高装甲车辆近距离防护能力和战场生存能力,提出一种车载360°态势感知系统。给出了系统的构成框架,并从总体设计、高吞吐嵌入式图像处理平台架构、实时全景拼接以及目标识别和威胁判断等关键技术进行了分析,提出了解决方法。设计的系统实现了多路高清图像拼接,延时优于190 ms,对于车辆的探测距离达到1 km,具有人员和车辆目标的检测和威胁提示能力,可显著提高装甲车辆近距离态势感知能力。

     

    Abstract: In order to adapt to the complex battlefield space and improve the armored vehicle's short distance protection ability and battlefield survivability, a vehicle 360° situational awareness system was proposed. The framework of the system was given, and the key technologies such as general design, high throughput of embedded image processing platform, real-time panoramic mosaicing, target recognition and threat estimation were analyzed. Then the solutions were put forward. Results show that this system realizes the high-definition image mosaic in multi-channel. The delay time is better than 190 ms, and the detection distance to the vehicle is up to 1 km. It has the abilities of detection and threat prompting for human and vehicle targets, and can improve the situation awareness of armored vehicles in near range significantly.

     

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