MDE-based Sensor Management and Verification for a Self-Driving Miniature Vehicle
Paper in proceedings, 2013

Innovations for today’s vehicle functions are mainly driven by software. They realize comfort systems like automated parking but also safety systems where sensors are continuously monitoring the vehicle's surroundings to brake autonomously for avoiding collisions with cars, pedestrians, or bicyclists. In simulation environments, various traffic situations with alternative sensor setups are imitated before testing them on prototypical cars. In this paper, we are presenting an MDE approach for managing different sensor setups in a cyber-physical system development environment to leverage automated model verification, support system testing, and enable code generation. For example, the models are used as the single point of truth to configure and generate sensor setups for system validations in a 3D simulation environment. After their validation, a considered sensor configuration is transformed into a constraint-satisfaction model to be solved by the logical programming language Prolog. Based on this transformation, the conformance to the embedded system specification is formally verified and possible pin assignments, for how to connect the required sensors are calculated. The approach was validated during the development of a self- driving miniature vehicle using an STM32F4-based embedded system running the real-time operating system ChibiOS as the software/hardware interface to the sensors and actors.

Simulation

Model-Driven Engineering (MDE)

Prolog

Formal Verification

Sensor

Cyber-Physical Systems

Author

Md Abdullah Al Mamun

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)

Christian Berger

University of Gothenburg

Jörgen Hansson

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)

13th ACM Workshop on Domain-Specific Modeling, DSM 2013; Indianapolis, IN; United States

1-6

Subject Categories

Software Engineering

Computer Science

DOI

10.1145/2541928.2541929

ISBN

978-1-4503-2600-1

More information

Created

10/7/2017