Download presentation
Presentation is loading. Please wait.
Published byImani Mock Modified over 9 years ago
1
2012-09-21 1 Decision Making and control for automotive safety Mohammad Ali
2
2012-09-21 2 Financial supporters
3
2012-09-21 3 Outline Motivation, background and challenges Some Suggested approaches and results Concluding remarks
4
2012-09-21 4 Road Injuries Are among the top three causes of death for people 5-44 years old Cost governments 1-3 % of their GDP Cause US$ 518 billion in global losses Source: WHO, ”Global status report on road safety: time for action”, Geneva, 2009
5
2012-09-21 5 Other Collision avoidance systems Aim at avoiding rear end collisions Brake when it is no longer possible to avoid colliding by braking by steering Don’t interfere unless it’s neccessary Often only mitigate Minimal nuisance while providing benefit when possible
6
2012-09-21 6 Wait until it’s unavoidable?
7
2012-09-21 7 Approaches and results
8
2012-09-21 8 objective Utilize knowledge of road geometry to: Avoid loss of control Keep the vehicle on the road Without disturbing the driver
9
2012-09-21 9 Advanced sensing Threat assessment Decision making Path planning challenges Vehicle control
10
2012-09-21 10 Threat assessment problem Vehicle on the road and in the ”linear region”
11
2012-09-21 11 Threat assessment problem ≤ Slip limit ≤ Half the lane width |Slip angle front | | Slip angle rear | | Deviation centerline vehicle corner 1 | | Deviation centerline vehicle corner 2 | | Deviation centerline vehicle corner 3 | | Deviation centerline vehicle corner 4 |
12
2012-09-21 12 Threat assessment problem NowLater Admissible set Given estimates of vehicle state and surrounding environment, can we find an admissible sequence of control signals s.t. the vehicle state evolves within the prescribed constraints? Intervene Dont intervene
13
2012-09-21 13 Reachability based approach NowLater Admissible set 1 Select terminal target set 2 Compute sequence of safe sets 3 Check whether Safe set
14
2012-09-21 14 results Are we overestimating the driver’s capability? Safe set Admissible set Safe set Admissible set
15
2012-09-21 15 Normal drivingRough driving Steering angle Position error Orientation error We can estimate the two gains and the look ahead time! Driver model
16
2012-09-21 16 Results Safe set (driver model) Safe set (no driver model) Admissible set By accounting for driver limitations we can intervene earlier
17
2012-09-21 17 Braking interventions on Braking interventions off Can we make a difference? results
18
2012-09-21 18 results On Off
19
2012-09-21 19 results On Off
20
2012-09-21 20 results Braking interventions off
21
2012-09-21 21 results Braking interventions on
22
2012-09-21 22 results Steering interventions on
23
2012-09-21 23 NowLater Admissible set Safe set Models and estimates are always subject to uncertainty, we can account for: Uncertainty in state estimates Uncertainty in estimates of surrounding environment (e.g. curvature, friction..) Uncertainty in model parameters (e.g. driver model parameters) How about uncertainty?
24
2012-09-21 24 Concluding remarks
25
2012-09-21 25 Threat assessment algorithms –papers 1-4 Driver model estimation –paper 2 Uncertainty in estimates of state, additive disturbances, model parameters –paper 3 Nonlinear dynamics –papers 1 & 4 Decision making –paper 1 Intervention design –paper 1 Everything validated through experiments –papers 1-4 contributions
26
2012-09-21 26 Safety feature that utilizes knowledge of the road geometry to: Avoid loss of control Keep the vehicle on the road Make the vehicle easier to maneuver Driver skills are not limiting Friction estimation is difficult in low excitation Curvature estimation is difficult on bad roads Driving application Vehicle dynamics control Collision avoidance systems
27
2012-09-21 27 Thank you for listening! Don’t run off the road like I did!
Similar presentations
© 2024 SlidePlayer.com Inc.
All rights reserved.