Lecture 10-5 Vehicle Steering Control week 14 12/4/2014 Thurs
• Lane keeping model
• Lane keeping control
1
System Control
Professor Kyongsu Yi
©2014 VDCL
Vehicle Dynamics and Control Laboratory Seoul National University
10-5 Vehicle Control: State Feedback
and pole placement
Mercedes Self-Driving Car Bertha Comes to
California
Automated Driving Worldwide
BMW's Chinese Robocar Tests Will Use Baidu's Maps
“Future Truck 2025”
The UK Oks Self-Driving Cars on Its Roads Soon
University of Michigan Robo Car Urban Test Track
Self-driving Audi RS7 aims for 149 mph in driver-free race lap
produces self- driving vehicles
Tesla
Aims to “90% Autopilot” By 2015
GM To Pour All
Resources Into Single Car That Can Be Safely Driven Down Street And Back
Robotic Road Train
Semiautonomous cars
will play follow the leader, giving drivers a rest and saving fuel
Illustration: Tavis Coburn IEEE Spectrum November 2012
2012-9-26 조선일보
Semi-autonomous cars
상용화 센서 기반 HK SSC 검증 플랫폼 구축 ADV6
Long range Radar ( Delphi : 77GHz )
Vision Sensor
( Mobileye : C2-170 ) Autobox
RT3002 Camera : 영상 취득용
Laser Scanner ( IBEO 장착 환경 구축 )
Rear-side Radar ( Delphi : 24GHz )
Automated Driving on Urban Roadways
• 총거리 : 1.2 km
• 신소재공동연구소(A) 제 2공학관(B) Parked Vehicle
Non-vehicle Obstacle - Pedestrian
- Guardrail
Other traffic Participant - Preceding Vehicle - Oncoming Vehicle
Automated Driving
Safety
Fuel saving
Traffic efficiency
Technologies
-
Risk management by Co-pilot
-
Eco driving by ADAS-GPS-map
-
v2X-ITS
Benefits and enabling technologies
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1. Sensor Information
- Practical implementation 2. Control Methodology
- Feedforward - Feedback
3. 제어성능
- 제어성능
- Measurement noise disturbance effect - Control System Module
Control Issues
11
12
Error Dynamics : Position And Yaw Angle Error
Centerline of Lane c
e
ψe
y yx Centerline of Vehicle
1. Position and Yaw Angle
y
,
e e
ψ12
13
Error Dynamics : Preview Distance Error Based
2. Position Error & Preview Distance Error ( )
,
,y LP
e e
ψc
x y
Lp
Centerline of Lane
ey
y LP,
e
13
14
Error Dynamics : Theoretical Optimal Control
3. Theoretical : Map based Preview Optimal Control
( )
( )
, , , , e
yf x
e f x
x Ax B F
ψ
δ ω δ ω
δ ω
=
= + +
Known14
15
1. 1988-1990 : PATH - Magnetic Sensor
2. Vision / Camera : Commercially Available 3. GPS / MAP
Measurements
15
Measurement : Magnetic Sensor
+ - + + +
+
- - -
Magnetic Poles 1m
Magnetometer
y
,
e e
ψ
⇒
Magnet Magnetometer
16
Measurement : Vision
Vision :
, , ( )
e e R curvature
y ψLDW LKS LDAS
17
Measurement : GPS / MAP
Path
, , , Map Path
y, x y ψ ⇒ e e
ψ18
End of Steering Control Fall 2014 System control
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