Vehicle-mounted embedded equipment based on active safety early warning

The invention discloses vehicle-mounted embedded equipment based on active safety early warning. The vehicle-mounted embedded equipment comprises a vehicle speed acquisition unit, a vehicle-mounted embedded processing unit, an active safety early warning unit, an anti-fatigue early warning unit, a p...

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Bibliographische Detailangaben
Hauptverfasser:	HU GAOJUN, XIE BO, WANG CHUNBO, YANG RONGKUI
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	ALARM SYSTEMS ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING ORSUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES INGENERAL CALCULATING COMPUTING CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES COUNTING HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ORDER TELEGRAPHS PERFORMING OPERATIONS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT SIGNALLING SIGNALLING OR CALLING SYSTEMS TRAFFIC CONTROL SYSTEMS TRANSPORTING VEHICLES IN GENERAL
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Beschreibung
Zusammenfassung:	The invention discloses vehicle-mounted embedded equipment based on active safety early warning. The vehicle-mounted embedded equipment comprises a vehicle speed acquisition unit, a vehicle-mounted embedded processing unit, an active safety early warning unit, an anti-fatigue early warning unit, a positioning unit and a wireless communication unit, wherein the vehicle-mounted embedded processing unit is respectively connected with the vehicle speed acquisition unit, the active safety early warning unit, the anti-fatigue early warning unit, the positioning unit and the wireless communication unit. According to the equipment, active early warning can be carried out on fatigue driving and abnormal conditions occurring in the driving process, driving safety can be guaranteed, and in addition, through a three-dimensional modeling mode, when abnormal conditions such as potential collision risks and potential lane departure risks are analyzed, prediction is carried out according to the running speed of the vehicle,