lrf 中文意思是什麼

Our previous studies confirmed that the central pathway of trigeminal proprioceptive sensation consists of four orders of neurons, and neurons from the first - to the fourth - order are located, respectively, in the mesencephalic trigeminal nucleus ( vme ), the dorsomedial part of the subnucleus oralis of the spinal trigeminal nucleus and its adjacent reticular formation ( vodm - lrf ), the " zone - shaped area " [ including the caudolateral part of the supratrigeminal nucleus ( vsup - cl ), the dorsomedial part of the principal sensory trigeminal nucleus ( vpdm ), the area ventral to the motor trigeminal nucleus ( avm ) and the area dorsal to the superior olivary nucleus ( ado ) ] and the contralateral ventral posteromedial nucleus ( vpm ) of the thalamus. because the pathway is a novel one, there has been little systematic morphological data available so far regarding the neurotransmitters involved in this pathway

該通路中第二、三級神經元所在地分別是三叉神經脊束核吻側亞核背內側區及其鄰接的網狀結構（ dorsomedialpartofthesubnucleusoralisofthespinaltrigeminalnucleusanditsadjacentreticularformation ， vodm - lrf ）和帶狀區[包括背側的三叉上核尾外側部（ caudolateralpartofthesupratrigeminalnucleus ， vsup - cl ）和感覺主核背內側部（ dorsomedialpartoftheprincipalsensorytrigeminalnucleus ， vpdm ）及腹側的兩個分別位於三叉神經運動核腹側和上橄欖核背側的暫命名為avm （ areaventraltothemotortrigeminalnucleus ）和ado （ areadorsaltothesuperiorolivarynucleus ）的兩個小核團] 。

Lrf luteinizing hormone releasing factor

黃體生成激素釋放因子即

Then the two 2d lrf based obstacle detection system was carefully designed and consequently the algorithm based on multi - sensor data fusion was presented

接下來作者設計了採用兩個2d激光測距雷達的alv障礙檢測系統，並提出了基於多傳感器數據融合的障礙檢測方法。

In the hardware solution, a dual - port high speed communication card was designed to resolve the " data " losing " problem in the communication between the lrf and pc

在數據輸入模塊中還介紹了作者為解決兩個激光測距雷達和pc機之間的高速數據通信問題所設計的高速數據通信卡。

All of the above analysis show that although 2d lrf is not capable of scan in 3 - dimension, when considering the flat road, its high sampling rate can do great good to the detection of even small obstacles

量化分析的結果表明，雖然作者採用的是2d激光測距雷達，沒有3d激光測距雷達那樣的面陣掃描功能，但是在平整路面的條件下，充分利用其高采樣率的優點，完全可以實現小障礙的檢測。

On the first subject of this dissertation, a concise review of the relationship between range perception sensors and obstacle detection methods was presented. comparing results show that laser range finder ( lrf ) is a preferred sensor for obstacle detection

作者回顧了移動機器人的障礙檢測研究中所採用的各種傳感器和實現方法，分析比較了每種方法的優缺點，指出採用激光測距雷達是比較好的選擇。

The algorithm features full utilization of different installation positions and different angular resolutions of the two lrfs by assigning different tasks to them. the top lrf was used to set up the initial trace of new obstacles recognized from the result of d - s evidence theory based multi - period data fusion and the bottom one was used to maintain tracking of obstacles, providing relatively accurate positions of the obstacles

該演算法的特點在於充分利用了兩個激光測距雷達的不同安裝位置、不同解析度對障礙檢測造成的有利條件，將多目標跟蹤的理論和技術融入障礙檢測的軟體框架中，並結合d - s證據理論融合多測量周期的識別結果，由頂雷達建立障礙的初始航跡，而底雷達進行航跡的跟蹤和維持。