@INPROCEEDINGS{Schlingelhof2006,
  author = {Marius Schlingelhof and Reinhart K\"uhne and Daniel Krajzewicz},
  title = {NEW GNSS-BASED APPROACHES FOR ADVANCED DRIVER ASSISTANCE SYSTEMS},
  booktitle = {TRB 2006 (85th Annual Meeting)},
  year = {2006},
  month = {Januar},
  abstract = {The enhancement of road safety and traffic efficiency are the focus
	of many endeavours in science, economy and politics. A traditional
	approach is to increase vehicle safety by advanced and intelligent
	onboard systems using high developed sensors for the monitoring of
	the vehicle?s surrounding. However, these technologies are vehicle-autonomous
	solutions that only consider information coming from onboard sensors.
	These sensors are normally based on optical, ultra-sonic, radar or
	video camera systems and can only detect other vehicles or other
	objects along a line-of-sight up to the next obstacle. The view beyond
	a truck cruising just in front of the vehicle, for example, is not
	possible.


	New approaches are now dealing with co-operative technologies that
	enable the exchange of important information between vehicles and
	infrastructures for updated traffic data acquisition, recognition
	of traffic congestion due to accidents or other sudden incidents,
	local dynamic map data updates and driver warning. One key technology
	within such co-operative systems is the highly precise relative positioning
	between vehicles and the monitoring of the broader vehicle environment
	using ad-hoc data networks. These technologies can be primarily based
	on satellite systems like GPS or GALILEO supplemented by other onboard
	sensor data, whereby unprocessed sensor data and satellite pseudo
	range information will be exchanged between the vehicles within a
	dedicated radio range. These data, when compared with the onboard
	data, will finally enable the creation of virtual images of a vehicle?s
	surrounding using special microscopic traffic modelling algorithms.
	Future applications are road safety and Advanced Driver Assistance
	Systems (ADAS).},
  keywords = {GPS, Galileo, GNSS, ADAS, Road Safety, Relative Positioning, Surrounding
	Monitoring},
  owner = {Daniel},
  timestamp = {2011.12.02},
  url = {http://elib.dlr.de/21758/}
}

{"_id":{"_str":"536d286d4c6bdacb2800032e"},"__v":0,"authorIDs":[],"author_short":["Schlingelhof, M.","Kühne, R.","Krajzewicz, D."],"bibbaseid":"schlingelhof-khne-krajzewicz-newgnssbasedapproachesforadvanceddriverassistancesystems-2006","bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Marius"],"propositions":[],"lastnames":["Schlingelhof"],"suffixes":[]},{"firstnames":["Reinhart"],"propositions":[],"lastnames":["Kühne"],"suffixes":[]},{"firstnames":["Daniel"],"propositions":[],"lastnames":["Krajzewicz"],"suffixes":[]}],"title":"NEW GNSS-BASED APPROACHES FOR ADVANCED DRIVER ASSISTANCE SYSTEMS","booktitle":"TRB 2006 (85th Annual Meeting)","year":"2006","month":"Januar","abstract":"The enhancement of road safety and traffic efficiency are the focus of many endeavours in science, economy and politics. A traditional approach is to increase vehicle safety by advanced and intelligent onboard systems using high developed sensors for the monitoring of the vehicle?s surrounding. However, these technologies are vehicle-autonomous solutions that only consider information coming from onboard sensors. These sensors are normally based on optical, ultra-sonic, radar or video camera systems and can only detect other vehicles or other objects along a line-of-sight up to the next obstacle. The view beyond a truck cruising just in front of the vehicle, for example, is not possible. New approaches are now dealing with co-operative technologies that enable the exchange of important information between vehicles and infrastructures for updated traffic data acquisition, recognition of traffic congestion due to accidents or other sudden incidents, local dynamic map data updates and driver warning. One key technology within such co-operative systems is the highly precise relative positioning between vehicles and the monitoring of the broader vehicle environment using ad-hoc data networks. These technologies can be primarily based on satellite systems like GPS or GALILEO supplemented by other onboard sensor data, whereby unprocessed sensor data and satellite pseudo range information will be exchanged between the vehicles within a dedicated radio range. These data, when compared with the onboard data, will finally enable the creation of virtual images of a vehicle?s surrounding using special microscopic traffic modelling algorithms. Future applications are road safety and Advanced Driver Assistance Systems (ADAS).","keywords":"GPS, Galileo, GNSS, ADAS, Road Safety, Relative Positioning, Surrounding Monitoring","owner":"Daniel","timestamp":"2011.12.02","url":"http://elib.dlr.de/21758/","bibtex":"@INPROCEEDINGS{Schlingelhof2006,\n author = {Marius Schlingelhof and Reinhart K\\\"uhne and Daniel Krajzewicz},\n title = {NEW GNSS-BASED APPROACHES FOR ADVANCED DRIVER ASSISTANCE SYSTEMS},\n booktitle = {TRB 2006 (85th Annual Meeting)},\n year = {2006},\n month = {Januar},\n abstract = {The enhancement of road safety and traffic efficiency are the focus\n\tof many endeavours in science, economy and politics. A traditional\n\tapproach is to increase vehicle safety by advanced and intelligent\n\tonboard systems using high developed sensors for the monitoring of\n\tthe vehicle?s surrounding. However, these technologies are vehicle-autonomous\n\tsolutions that only consider information coming from onboard sensors.\n\tThese sensors are normally based on optical, ultra-sonic, radar or\n\tvideo camera systems and can only detect other vehicles or other\n\tobjects along a line-of-sight up to the next obstacle. The view beyond\n\ta truck cruising just in front of the vehicle, for example, is not\n\tpossible.\n\n\n\tNew approaches are now dealing with co-operative technologies that\n\tenable the exchange of important information between vehicles and\n\tinfrastructures for updated traffic data acquisition, recognition\n\tof traffic congestion due to accidents or other sudden incidents,\n\tlocal dynamic map data updates and driver warning. One key technology\n\twithin such co-operative systems is the highly precise relative positioning\n\tbetween vehicles and the monitoring of the broader vehicle environment\n\tusing ad-hoc data networks. These technologies can be primarily based\n\ton satellite systems like GPS or GALILEO supplemented by other onboard\n\tsensor data, whereby unprocessed sensor data and satellite pseudo\n\trange information will be exchanged between the vehicles within a\n\tdedicated radio range. These data, when compared with the onboard\n\tdata, will finally enable the creation of virtual images of a vehicle?s\n\tsurrounding using special microscopic traffic modelling algorithms.\n\tFuture applications are road safety and Advanced Driver Assistance\n\tSystems (ADAS).},\n keywords = {GPS, Galileo, GNSS, ADAS, Road Safety, Relative Positioning, Surrounding\n\tMonitoring},\n owner = {Daniel},\n timestamp = {2011.12.02},\n url = {http://elib.dlr.de/21758/}\n}\n\n","author_short":["Schlingelhof, M.","Kühne, R.","Krajzewicz, D."],"key":"Schlingelhof2006","id":"Schlingelhof2006","bibbaseid":"schlingelhof-khne-krajzewicz-newgnssbasedapproachesforadvanceddriverassistancesystems-2006","role":"author","urls":{"Paper":"http://elib.dlr.de/21758/"},"keyword":["GPS","Galileo","GNSS","ADAS","Road Safety","Relative Positioning","Surrounding Monitoring"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/eclipse/sumo/main/docs/sumo.bib","downloads":0,"keywords":["gps","galileo","gnss","adas","road safety","relative positioning","surrounding monitoring"],"search_terms":["new","gnss","based","approaches","advanced","driver","assistance","systems","schlingelhof","kühne","krajzewicz"],"title":"NEW GNSS-BASED APPROACHES FOR ADVANCED DRIVER ASSISTANCE SYSTEMS","year":2006,"dataSources":["66NTXxZwo8WZwAFCa","n7xZzbjha4s6NhjNG"]}