A platform for research: civil engineering, architecture and urbanism
Road surface invisible mark serving AI driving and road surface
The invention discloses a road surface invisible mark serving AI driving. The road surface invisible mark comprises a plurality of lane marking blocks which are located under an upper surface layer of a road and coated on the surface of a middle surface layer or the surface of a lower surface layer. The lane marking block is prepared by doping a bonding material and an identification material, and the particle size of the identification material is matched with the pavement aggregate; a recognition device is installed on the AI driving vehicle and used for detecting the shapes and sizes of recognition materials in the multiple lane marking blocks, analyzing the types of the recognized lane marking blocks, generating a real-time image map with the cross section being two-dimensional or three-dimensional, analyzing the real-time image map to obtain indication information of a current road surface, and displaying the indication information of the current road surface according to the indication information of the current road surface. And vehicle position information is obtained through triangular operation. The problem that visibility, durability and accuracy are reduced due to the fact that marking lines are blocked by climatic factors, vehicle loads and foreign objects is fundamentally solved.
本发明公开了一种服务于AI驾驶的路面隐形标识,包括位于道路的上面层正下方,涂敷在中面层表面或者下面层表面的若干种车道标线块;所述车道标线块采用粘接料和识别材料掺杂制成,识别材料的粒径与路面集料相匹配;所述AI驾驶车辆上安装有识别装置,探测多个车道标线块内的识别材料的形状和尺寸,对识别到的车道标线块的类型进行分析,生成横截面为二维或者三维的实时影像图,从实时影像图中分析得到当前路面的指示信息,并通过三角运算计算得到车辆位置信息。本发明从根本上解决了标线受气候因素、车辆荷载以及外物遮挡而造成的可视性、耐久性以及精确定下降问题。
Road surface invisible mark serving AI driving and road surface
The invention discloses a road surface invisible mark serving AI driving. The road surface invisible mark comprises a plurality of lane marking blocks which are located under an upper surface layer of a road and coated on the surface of a middle surface layer or the surface of a lower surface layer. The lane marking block is prepared by doping a bonding material and an identification material, and the particle size of the identification material is matched with the pavement aggregate; a recognition device is installed on the AI driving vehicle and used for detecting the shapes and sizes of recognition materials in the multiple lane marking blocks, analyzing the types of the recognized lane marking blocks, generating a real-time image map with the cross section being two-dimensional or three-dimensional, analyzing the real-time image map to obtain indication information of a current road surface, and displaying the indication information of the current road surface according to the indication information of the current road surface. And vehicle position information is obtained through triangular operation. The problem that visibility, durability and accuracy are reduced due to the fact that marking lines are blocked by climatic factors, vehicle loads and foreign objects is fundamentally solved.
本发明公开了一种服务于AI驾驶的路面隐形标识,包括位于道路的上面层正下方,涂敷在中面层表面或者下面层表面的若干种车道标线块;所述车道标线块采用粘接料和识别材料掺杂制成,识别材料的粒径与路面集料相匹配;所述AI驾驶车辆上安装有识别装置,探测多个车道标线块内的识别材料的形状和尺寸,对识别到的车道标线块的类型进行分析,生成横截面为二维或者三维的实时影像图,从实时影像图中分析得到当前路面的指示信息,并通过三角运算计算得到车辆位置信息。本发明从根本上解决了标线受气候因素、车辆荷载以及外物遮挡而造成的可视性、耐久性以及精确定下降问题。
Road surface invisible mark serving AI driving and road surface
一种服务于AI驾驶的路面隐形标识、路面
ZHANG XIAOCHUN (author) / SHEN QIHUA (author) / HU JIANHAN (author) / LU XINTONG (author)
2023-09-05
Patent
Electronic Resource
Chinese
IPC:
E01F
ADDITIONAL WORK, SUCH AS EQUIPPING ROADS OR THE CONSTRUCTION OF PLATFORMS, HELICOPTER LANDING STAGES, SIGNS, SNOW FENCES, OR THE LIKE
,
Zusätzliche Baumaßnahmen, wie die Ausstattung von Straßen oder die bauliche Ausbildung von Bahnsteigen, Landeplätzen für Hubschrauber, Wegweisern, Schneezäunen oder dgl.
/
E01C
Bau von Straßen, Sportplätzen oder dgl., Decken dafür
,
CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE
/
G08G
Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs
,
TRAFFIC CONTROL SYSTEMS