Autonomous Driving - Revision history

Filipe.Pelica: Included editor logo.

2014-09-18T16:28:08Z

Included editor logo.

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Carlos.Lopez at 10:48, 23 February 2012

2012-02-23T10:48:54Z

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	\|Editors=GMV ~~A.D.~~		\|Editors=GMV
	\|Level=Intermediate		\|Level=Intermediate
	\|YearOfPublication=2011		\|YearOfPublication=2011

Carlos.Lopez at 10:38, 23 February 2012

2012-02-23T10:38:33Z

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	\|~~Authors~~=GMV		\|Editors=GMV A.D.
	\|Level=Intermediate		\|Level=Intermediate
	\|YearOfPublication=2011		\|YearOfPublication=2011
	~~\|Logo=GMV~~
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Rui.Pereira at 18:18, 7 November 2011

2011-11-07T18:18:29Z

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	\|Category=Applications		\|Category=Applications
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	\|Authors=GMV		\|Authors=GMV
	\|Level=Intermediate		\|Level=Intermediate
	\|YearOfPublication=2011		\|YearOfPublication=2011
	\|Logo=GMV		\|Logo=GMV
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	The main drivers for achieving autonomous driving is the reduction of traffic accidents by eliminating human error, increasing road capacity and traffic flow by reducing distance between cars and making use of traffic management information, relieving the car occupants from driving and navigation activities and allowing them to engage in other activities or rest<ref>[[Wikipedia:Driverless car\|Driverless car on Wikipedia]]</ref>.		The main drivers for achieving autonomous driving is the reduction of traffic accidents by eliminating human error, increasing road capacity and traffic flow by reducing distance between cars and making use of traffic management information, relieving the car occupants from driving and navigation activities and allowing them to engage in other activities or rest<ref>[[Wikipedia:Driverless car\|Driverless car on Wikipedia]]</ref>.

	A driverless car requires the combination of several techniques among which GNSS ~~that~~ will ~~be able~~ to guide a land vehicle from one point to another ~~autonomously~~ using public roads. In autonomous driving, GNSS can be used for navigation ~~being used to determine~~ the vehicle location and speed. ~~This~~ information ~~will then be used to decide~~ the vehicle route using digital maps. If the accuracy is good enough ~~GNSS can be used also for lane determination and even for attitude determination~~. If the location information is shared among cars, GNSS could ~~theoretically~~ be ~~used for~~ short-range situation awareness although it is not expected that GNSS ~~will be used in~~ the ~~future as~~ sole means of information for short-range situation awareness.		A driverless car requires the combination of several techniques among which GNSS. These techniques will enable to guide autonomously a land vehicle from one point to another using public roads. In autonomous driving, GNSS can be used for navigation by determining the vehicle location and speed. With this information the vehicle route can be decided using digital maps. Lane and attitude determination could also benefit from GNSS if the accuracy is good enough. If the location information is shared among cars, GNSS could be a part of a short-range situation awareness system (awareness of other vehicles in the road and collision avoidance) although it is not expected that GNSS is the sole means of information for short-range situation awareness.

	== Application Architecture ==		== Application Architecture ==
	[[File:Hands-free Driving.jpg\|right\|thumb\|300px\|Autonomous Vehicle Prototype]]		[[File:Hands-free Driving.jpg\|right\|thumb\|300px\|Autonomous Vehicle Prototype]]
	A autonomous vehicle would have a GNSS receptor and antenna installed ~~that provides~~ positioning the car's autopilot system. The autopilot system uses this information to decide the route to take using digital maps and eventually traffic information.		A autonomous vehicle would have a GNSS receptor and antenna installed, providing positioning to the car's autopilot system. The autopilot system uses this information to decide the route to take using digital maps and eventually traffic information.

	Normally autonomous car prototypes rely on short range sensor (cameras, ultrasound, radar, lidar, etc) for short-range situational awareness. Short-range situation awareness allows the car's autopilot to determine the lane where is traveling and to be aware of the surrounding environment including other cars and obstacles. GNSS can ~~be used as~~ additional ~~source of~~ information for short-range situational awareness but it is not likely that it is used as the sole means for lane determination and situation awareness. For the use of GNSS for short-range situation awareness the accuracy would have to be at decimeter level and the information of the position of the cars would have to be shared ~~somehow~~. ~~Even though this~~ wouldn't cover for other obstacles that might be on the road.		Normally autonomous car prototypes rely on short range sensor (cameras, ultrasound, radar, lidar, etc) for short-range situational awareness. Short-range situation awareness allows the car's autopilot to determine the lane where is traveling and to be aware of the surrounding environment including other cars and obstacles. GNSS can provide additional information for short-range situational awareness but it is not likely that it is used as the sole means for lane determination and situation awareness. For the use of GNSS for short-range situation awareness the accuracy would have to be at decimeter level and the information of the position of the cars would have to be shared between neighboring cars. This would be helpful but it wouldn't cover for other obstacles that might be on the road.

	~~The use of~~ road infrastructure such as rails or electronic markers could make autonomous ~~car's~~ simpler in technical terms but would require ~~and~~ infrastructural cost that might be too high.		Using road infrastructure (such as rails or electronic markers) for navigation could make autonomous cars simpler in technical terms but would require an infrastructural cost that might be too high. Also this would limit the roads that an autonomous car could use to the ones having this infrastructure installed.

	== Application Characterization ==		== Application Characterization ==

Timo.Kouwenhoven: Text replace - "|Level=Medium" to "|Level=Intermediate"

2011-11-06T07:39:52Z

Text replace - "|Level=Medium" to "|Level=Intermediate"

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Timo.Kouwenhoven at 13:36, 1 November 2011

2011-11-01T13:36:47Z

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	== Application Characterization ==		== Application Characterization ==

	Autonomous Driving is still a research area and there aren't yet vehicles approved to be driven without human supervision. The existing vehicles are research prototypes that still cannot run autonomously 100% of the time.		Autonomous Driving is still a research area and there aren't yet vehicles approved to be driven without human supervision. The existing vehicles are research prototypes that still cannot run autonomously 100% of the time.

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	== Application Examples ==		== Application Examples ==

	Examples of autonomous vehicle projects are:		Examples of autonomous vehicle projects are:
	* '''Google driverless car''' - Project by Google that involves developing technology for driverless cars<ref>[[Wikipedia:Google driverless car\|Google driverless car on Wikipedia]]</ref>.		* '''Google driverless car''' - Project by Google that involves developing technology for driverless cars<ref>[[Wikipedia:Google driverless car\|Google driverless car on Wikipedia]]</ref>.

Timo.Kouwenhoven at 13:33, 1 November 2011

2011-11-01T13:33:17Z

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	\|YearOfPublication=2011		\|YearOfPublication=2011
	\|Logo=GMV		\|Logo=GMV
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	The main drivers for achieving autonomous driving is the reduction of traffic accidents by eliminating human error, increasing road capacity and traffic flow by reducing distance between cars and making use of traffic management information, relieving the car occupants from driving and navigation activities and allowing them to engage in other activities or rest<ref>[[Wikipedia:Driverless car\|Driverless car on Wikipedia]]</ref>.		The main drivers for achieving autonomous driving is the reduction of traffic accidents by eliminating human error, increasing road capacity and traffic flow by reducing distance between cars and making use of traffic management information, relieving the car occupants from driving and navigation activities and allowing them to engage in other activities or rest<ref>[[Wikipedia:Driverless car\|Driverless car on Wikipedia]]</ref>.

Rui.Pereira: moved Work in Progress:Autonomous Driving to Autonomous Driving over redirect

2011-09-16T16:24:57Z

moved Work in Progress:Autonomous Driving to Autonomous Driving over redirect

← Older revision	Revision as of 16:24, 16 September 2011
(No difference)

Rui.Pereira at 16:24, 16 September 2011

2011-09-16T16:24:47Z

← Older revision		Revision as of 16:24, 16 September 2011
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	The main drivers for achieving autonomous driving is the reduction of traffic accidents by eliminating human error, increasing road capacity and traffic flow by reducing distance between cars and making use of traffic management information, relieving the car occupants from driving and navigation activities and allowing them to engage in other activities or rest<ref>[[Wikipedia:Driverless car\|Driverless car on Wikipedia]]</ref>.		The main drivers for achieving autonomous driving is the reduction of traffic accidents by eliminating human error, increasing road capacity and traffic flow by reducing distance between cars and making use of traffic management information, relieving the car occupants from driving and navigation activities and allowing them to engage in other activities or rest<ref>[[Wikipedia:Driverless car\|Driverless car on Wikipedia]]</ref>.

	A driverless car ~~will have be combinations~~ of several techniques among which GNSS that will be able to guide a land vehicle from one point to another autonomously using public roads. In autonomous driving, GNSS can be used for navigation being used to determine the vehicle location~~, vehicle velocity~~ and ~~current~~. This information will then be used to decide the vehicle route using digital maps. If the accuracy is good enough GNSS can be used also for lane determination and even for attitude determination. If the location information is shared among cars, GNSS could theoretically be used for short-range situation awareness although it is not expected that GNSS will be used in the future as sole means of information for short-range situation awareness.		A driverless car requires the combination of several techniques among which GNSS that will be able to guide a land vehicle from one point to another autonomously using public roads. In autonomous driving, GNSS can be used for navigation being used to determine the vehicle location and speed. This information will then be used to decide the vehicle route using digital maps. If the accuracy is good enough GNSS can be used also for lane determination and even for attitude determination. If the location information is shared among cars, GNSS could theoretically be used for short-range situation awareness although it is not expected that GNSS will be used in the future as sole means of information for short-range situation awareness.

	== Application Architecture ==		== Application Architecture ==
	[[File:Hands-free Driving.jpg\|right\|thumb\|300px\|Autonomous Vehicle Prototype]]		[[File:Hands-free Driving.jpg\|right\|thumb\|300px\|Autonomous Vehicle Prototype]]
	A autonomous vehicle would have a GNSS receptor and antenna installed that ~~provided~~ positioning the car's autopilot system. The autopilot system uses this information to decide the route to take using digital maps and eventually traffic information.		A autonomous vehicle would have a GNSS receptor and antenna installed that provides positioning the car's autopilot system. The autopilot system uses this information to decide the route to take using digital maps and eventually traffic information.

	Normally autonomous car prototypes rely on short range sensor (cameras, ultrasound, radar, lidar, etc) for short-range situational awareness. Short-range situation awareness allows the car's autopilot to determine the lane where is traveling and to be aware of the surrounding environment including other cars and obstacles. GNSS can be used as additional source of information for short-range situational awareness but it is not likely that it is used as the sole means for lane determination and situation awareness. For the use of GNSS for short-range situation awareness the accuracy would have to be at decimeter level and the information of the position of the cars would have to be shared somehow. Even though this ~~would~~ cover for other obstacles that might be on the road.		Normally autonomous car prototypes rely on short range sensor (cameras, ultrasound, radar, lidar, etc) for short-range situational awareness. Short-range situation awareness allows the car's autopilot to determine the lane where is traveling and to be aware of the surrounding environment including other cars and obstacles. GNSS can be used as additional source of information for short-range situational awareness but it is not likely that it is used as the sole means for lane determination and situation awareness. For the use of GNSS for short-range situation awareness the accuracy would have to be at decimeter level and the information of the position of the cars would have to be shared somehow. Even though this wouldn't cover for other obstacles that might be on the road.

	The use of road infrastructure such as rails or electronic markers could make autonomous car's simpler in technical terms but would require and infrastructural cost that might be too high.		The use of road infrastructure such as rails or electronic markers could make autonomous car's simpler in technical terms but would require and infrastructural cost that might be too high.
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	Autonomous Driving is still a research area and there aren't yet vehicles approved to be driven without human supervision. The existing vehicles are research prototypes that still cannot run autonomously 100% of the time.		Autonomous Driving is still a research area and there aren't yet vehicles approved to be driven without human supervision. The existing vehicles are research prototypes that still cannot run autonomously 100% of the time.

	A restricted form of Autonomous driving is Advanced Driving Assistance Systems (ADAS). ADAS combines vehicle capabilities to improve mobility and active safety. GNSS will provide important additional data to ADAS on the vehicle’s environment. ADAS then warns the driver of imminent danger or takes full or partial control over the vehicle. For instance, the speed could be reduced by ADAS under bad visibility conditions if the car approaches a tight turn too fast. This function ~~will~~ be possible with accurate position data of guaranteed integrity.		A restricted form of Autonomous driving is Advanced Driving Assistance Systems (ADAS). ADAS combines vehicle capabilities to improve mobility and active safety. GNSS will provide important additional data to ADAS on the vehicle’s environment. ADAS then warns the driver of imminent danger or takes full or partial control over the vehicle. For instance, the speed could be reduced by ADAS under bad visibility conditions if the car approaches a tight turn too fast. This function would be possible with accurate position data of guaranteed integrity and accurate mapping information.

	== Application Examples ==		== Application Examples ==

Rui.Pereira at 09:57, 14 September 2011

2011-09-14T09:57:11Z

← Older revision		Revision as of 09:57, 14 September 2011
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			[[Category:Applications]]
	[[Category:Autonomous Applications]]		[[Category:Autonomous Applications]]