Sun Yat-senuniversity

Guangzhou Xiaopeng Motors Technology Co., Ltd.

Guangzhou Chengxing Zhidong Motors Technology Co., Ltd.

Qiang Tu

Xingcheng Liu

Zhiguang Xiao

Jianming Lai

Shengjun Chen

Peng Li

Yitong Liu

Hao Lin

Heng Xia

Yi Xie

Yang Su

In a data processing method for node localization in wireless sensor networks, a plurality of potential coordinate calculation values for a to-be-located node are calculated based on RSSI data received by the to-be-located node from a plurality of anchor nodes. A centroid Cof these coordinate calculation values is calculated. Then coordinate calculation values with distances to the centroid Cless than a threshold are screened out, and a centroid Cof the screened-out coordinate calculation values is calculated. A coordinate position of the centroid Cis used as the position of the to-be-located node. In other words, a plurality of potential positions for the to-be-located node are calculated using multiple groups of RSSI data and these potential positions are then screened through calculation. Instead of directly processing the received RSSI data, the present disclosure processes the coordinate calculation values obtained based on the received RSSI data.

Data processing method for node localization in wireless sensor networks

A wireless sensor network (WSN) clustering routing method based on optimization with salp swarm algorithm includes: S1: constructing an objective function by comprehensively considering factors as follows: node residual energy, a distance between cluster head nodes, a distance between a cluster member node and a cluster head node, a distance from a node to a base station, and a number of cluster head nodes; S2: solving the objective function by using a salp swarm algorithm, to find an optimal clustering scheme, and thus dividing the WSN into non-uniform clusters, wherein in each cluster, the cluster member node sends data to the cluster head node in a single-hop manner; S3: constructing a minimum spanning tree with the base station as a root node by using a routing utility function &#x192;(CH); S4: sending, by the cluster head node, data to the base station through routing organized by the minimum spanning tree.

WSN clustering routing method based on optimization with salp swarm algorithm

A path planning method, system, and device for autonomous driving are provided, where the method includes: acquiring environment perception information and vehicle positioning and navigation information, where the environment perception information includes obstacle information, roadside information, and lane line information, and the vehicle positioning and navigation information includes a vehicle pose and a target route; generating sub-paths according to the environment perception information and the vehicle positioning and navigation information, to obtain candidate sub-paths meeting vehicle constraints; performing a collision detection on the candidate sub-paths meeting the vehicle constraints, to obtain collision-free candidate sub-paths; performing a sub-path search on the collision-free candidate sub-paths by using an A* search algorithm; and obtaining, according to a result of the sub-path search, a local path of a vehicle.

Path planning method, system and device for autonomous driving

Provided are a method, apparatus and system for detecting obstacle collision in an automatic parking path. The method includes: geometrically performing an obstacle collision detection in a circular arc path and/or an obstacle collision detection in a straight line path by using a path contour, a vehicle contour and an obstacle contour. The system includes a collision detection module for geometrically performing detection of obstacle collision in a circular arc path and/or detection of obstacle collision in a straight line path by using a path contour, a vehicle contour and an obstacle contour. The apparatus includes: a memory and a processor configured for geometrically performing detection of obstacle collision in a circular arc path and/or detection of obstacle collision in a straight line path by using a path contour, a vehicle contour and an obstacle contour.

Method, apparatus and system for detecting obstacle collision in automatic parking path

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Guangzhou, China

Qiang Tu