In the field of autonomous driving, carriers are equipped with a variety of sensors, including cameras and LiDARs. However, the camera suffers from problems of illumination and occlusion, and the LiDAR encounters motion distortion, degenerate environment and limited ranging distance. Therefore, fusing the information from these two sensors deserves to be explored. In this paper, we propose a fusion network which robustly captures both the image and point cloud descriptors to solve the place recognition problem. Our contribution can be summarized as: (1) applying the trimmed strategy in the point cloud global feature aggregation to improve the recognition performance, (2) building a compact fusion framework which captures both the robust representation of the image and 3D point cloud, and (3) learning a proper metric to describe the similarity of our fused global feature. The experiments on KITTI and KAIST datasets show that the proposed fused descriptor is more robust and discriminative than the single sensor descriptor.

Very minimum chirp keying (VMCK) as a novel high bandwidth efficiency modulation scheme is implemented on small form factor (SFF) software-defined radio (SDR). The VMCK transmission system model is elaborated based on Simulink within Matlab. Also, the final demodulation data stream at the output of the VMCK transmission system shows good performance in simulation. The transmitter and the receiver are designed on the SDR platform. The VMCK baseband signals with 2.5MHz are transmitted from Matlab workspace by ROM block, and then the VMCK signals are ratio frequency (RF) modulated with 432MHz. In addition, the RF receiving intermediate frequency (IF) signals with 30MHz on the SDR platform. The VMCK transmission model is easy to implement and has strong properties to resist synchronization error.

Environmental protection is China's fourth most important social issue, after healthcare, employment and the income gap. Especially for power factories, they become highlights of all pollution resources. In China, an online bag filter automatic monitor system for primary pollution sources is implemented and adopted in Inner Mongolia. This paper introduces analysis and implementation of OPC data interaction and its application in the automatic monitor system for pollution source. Based on the platform of Ethernet consisting of PC and PLC and C/S architecture, the system completes data interactions with field equipments through configuration software and constructs a server-client structure which helps monitor the objects. The system is running well for processing all kinds of data that designate. It also can be adapted to other areas when giving a slight adjustment to the parameters.

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