System and method for optimizing autonomous vehicle capabilities in route planning

Matti Kutila; Mikko Tarkiainen; Pertti Peussa; Ari Virtanen; Samian Kaur

System and method for optimizing autonomous vehicle capabilities in route planning

Matti Kutila (Inventor), Mikko Tarkiainen (Inventor), Pertti Peussa (Inventor), Ari Virtanen (Inventor), Samian Kaur (Inventor)

Not published at VTT

PCMS Holdings, Inc.

Research output: Patent › Patent

Abstract

Systems and methods described herein determine an optimal lane trajectory and route for an autonomous vehicle under changing road conditions and forecast autonomous car performance along a route. A road's profile is analyzed to determine a safe lateral lane position. In ice or snow, a vehicle may follow ruts made by previous vehicles, even if following such ruts does not place a vehicle in a lane's center. In warmer weather, a vehicle may drive outside the ruts to avoid risks of aquaplaning. Dynamic road conditions and AV support along a route are used to maximize AV use and to forecast AV performance. A vehicle control system calculates sensor limitations and uses these sensor limitations when calculating which route to select.

Patent family as of 23.3.2022
DE602017026896 D1 20201126 DE201760026896T 20170726
EP3494445 A1 20190612 EP20170755320 20170726
EP3494445 B1 20201104 EP20170755320 20170726
US10921810 BB 20210216 US20190317797 20170726
US2019294167 AA 20190926 US20190317797 20170726
WO18026603 A1 20180208 WO2017US43947 20170726

Link to current family on right

Original language	English
Patent number	EP3494445 B1
IPC	G01C21/34
Filing date	26/07/17
Publication status	Published - 4 Nov 2020
MoE publication type	H1 Granted patent

Cite this

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abstract = "Systems and methods described herein determine an optimal lane trajectory and route for an autonomous vehicle under changing road conditions and forecast autonomous car performance along a route. A road's profile is analyzed to determine a safe lateral lane position. In ice or snow, a vehicle may follow ruts made by previous vehicles, even if following such ruts does not place a vehicle in a lane's center. In warmer weather, a vehicle may drive outside the ruts to avoid risks of aquaplaning. Dynamic road conditions and AV support along a route are used to maximize AV use and to forecast AV performance. A vehicle control system calculates sensor limitations and uses these sensor limitations when calculating which route to select.Patent family as of 23.3.2022 DE602017026896 D1 20201126 DE201760026896T 20170726 EP3494445 A1 20190612 EP20170755320 20170726 EP3494445 B1 20201104 EP20170755320 20170726 US10921810 BB 20210216 US20190317797 20170726 US2019294167 AA 20190926 US20190317797 20170726 WO18026603 A1 20180208 WO2017US43947 20170726Link to current family on right",

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AU - Kutila, Matti

AU - Tarkiainen, Mikko

AU - Peussa, Pertti

AU - Virtanen, Ari

AU - Kaur, Samian

PY - 2020/11/4

Y1 - 2020/11/4

N2 - Systems and methods described herein determine an optimal lane trajectory and route for an autonomous vehicle under changing road conditions and forecast autonomous car performance along a route. A road's profile is analyzed to determine a safe lateral lane position. In ice or snow, a vehicle may follow ruts made by previous vehicles, even if following such ruts does not place a vehicle in a lane's center. In warmer weather, a vehicle may drive outside the ruts to avoid risks of aquaplaning. Dynamic road conditions and AV support along a route are used to maximize AV use and to forecast AV performance. A vehicle control system calculates sensor limitations and uses these sensor limitations when calculating which route to select.Patent family as of 23.3.2022 DE602017026896 D1 20201126 DE201760026896T 20170726 EP3494445 A1 20190612 EP20170755320 20170726 EP3494445 B1 20201104 EP20170755320 20170726 US10921810 BB 20210216 US20190317797 20170726 US2019294167 AA 20190926 US20190317797 20170726 WO18026603 A1 20180208 WO2017US43947 20170726Link to current family on right

AB - Systems and methods described herein determine an optimal lane trajectory and route for an autonomous vehicle under changing road conditions and forecast autonomous car performance along a route. A road's profile is analyzed to determine a safe lateral lane position. In ice or snow, a vehicle may follow ruts made by previous vehicles, even if following such ruts does not place a vehicle in a lane's center. In warmer weather, a vehicle may drive outside the ruts to avoid risks of aquaplaning. Dynamic road conditions and AV support along a route are used to maximize AV use and to forecast AV performance. A vehicle control system calculates sensor limitations and uses these sensor limitations when calculating which route to select.Patent family as of 23.3.2022 DE602017026896 D1 20201126 DE201760026896T 20170726 EP3494445 A1 20190612 EP20170755320 20170726 EP3494445 B1 20201104 EP20170755320 20170726 US10921810 BB 20210216 US20190317797 20170726 US2019294167 AA 20190926 US20190317797 20170726 WO18026603 A1 20180208 WO2017US43947 20170726Link to current family on right

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M3 - Patent

M1 - EP3494445 B1

Y2 - 2017/07/26

ER -

System and method for optimizing autonomous vehicle capabilities in route planning

Abstract

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