Presentation is loading. Please wait.

Presentation is loading. Please wait.

Car Periphery Supervision System: Case Study 3 Ed Brinksma University of Twente.

Similar presentations


Presentation on theme: "Car Periphery Supervision System: Case Study 3 Ed Brinksma University of Twente."— Presentation transcript:

1 Car Periphery Supervision System: Case Study 3 Ed Brinksma University of Twente

2 Ed Brinksma Car Periphery Supervision System: Case Study 3 2 CPS obtains and makes available for other systems information about environment of a car. This information may be used for: Parking assistance Pre-crash detection Blind spot supervision Lane change assistance Stop & go Etc Based on Short Range Radar (SRR) technology The CPS considered in this case study One sensor group only (currently 2 sensors) Only the front sensors and corresponding controllers Application: pre-crash detection, parking assistance, stop & go CPS: Informal description

3 Ed Brinksma Car Periphery Supervision System: Case Study 3 3 Hybrid Environment Sensors Measurement control (ECU) Stochastic ECU – tasks on OSEK Car Airbag control Belt Tensioner HMI Etc Sensor CARCAR ECU Tasks running on OSEK HYBRID STOCHASTIC TIMED WORLDWORLD CPS: General model timing analysis

4 Ed Brinksma Car Periphery Supervision System: Case Study 3 4 Requirements, assumptions & constraints Proposed requirements (initially unclear) To provide the information about the environment to the belt tensioner, the air bag controller and HMI on time Avoid false alarms, i.e. to provide reliable information Proposed assumptions & constraints Environment (physical) constraints – a maximal (de-) acceleration, a maximal velocity, etc. Information consumers constraints – activation time, etc. Sensors properties – placement, physical properties ECU constraints – computation delays, communication delays, etc.

5 Ed Brinksma Car Periphery Supervision System: Case Study 3 5 Sensor scan modes 10 m DScan mode cycle: appr. 10 ms 2 m DScan mode cycle: appr. 2 ms 1.4 m CVScan mode cycle: < 1.5 ms ? ? ?

6 Ed Brinksma Car Periphery Supervision System: Case Study 3 6 Environment Analysis Different width of cars (1.5-2m) Interval for the sensors placement ( m) Interval of velocities (5-60m/s) Visibility analysis (MatLab) difference is big, but not important for the current services Trajectories analysis CVMode information is important only for the Air Bag Controller For the Belt Tensioner only early DScan information is important

7 Ed Brinksma Car Periphery Supervision System: Case Study 3 7 UPPAAL model Env1,Env2: distance between object and car The front of the car is divided into 12 smaller regions Sensor mode is switched from long distance scan to short distance scan based on d Env 1 Env 2 Sensor 1 Sensor 2 Measurement controller ECU Periodic scan Mode switch d=f(d1,d2) d1 d2 Periodic scan Mode switch ECUs knowledge about the object in collision course is at most one region behind Under assumption on the velocity of the object and the car, and the number of objects, the property can be satisfied

8 Ed Brinksma Car Periphery Supervision System: Case Study 3 8 Results Requirements, assumptions & constraints list Visibility analysis Trajectories analysis CVScan information is important only to the air bag controller CVScan and DScan (2m) is not relevant for the belt tensioner (if velocity is more than 20m/s~65km/h) Short DScan may be tuned to the air bag controller or the belt tensioner needs Uppaal model, verification of certain properties Meeting in Frankfurt, Robert Bosch GmbH (03/2003) Presentations in Ametist meetings in Twente (09/2002) Dortmund (11/2002) Cassis (4/2003) Conferences B.Gebremichael, H.Hermanns, T.Krilavičius, Y.S.Usenko Hybrid Modeling of a Vehicle Surveillance System with Real-Time Data Processing, Dynamical System Modelling and Stability Investigation, Kiev, 05/2003

9 Ed Brinksma Car Periphery Supervision System: Case Study 3 9 Plans Wider set of the trajectories with (de-) acceleration non-orthogonal trajectories Applications of the modeling results to tune the Uppaal model Experimentation with different short DScan distances Extension of problem hybrid analysis control aspects active cruise control platoon navigation Pushing tools to the limit and using state of the art methods to overcome these limitations Tuning the Uppaal model to the tool Recent news: Bosch has put the SRR system development on ice.


Download ppt "Car Periphery Supervision System: Case Study 3 Ed Brinksma University of Twente."

Similar presentations


Ads by Google