Mixed signal test development in a virtual test environment

In our paper we present a virtual test environment for self-optimizing systems based on mutant based testing to validate user tasks of a real-time operating system. This allows the efficient validation of the code coverage of the test cases and therefore helps to detect errors in order to improving the reliability of the system software. Technically we are able to run and test the software on both systems. By writing application software and setting up the virtual test environment properly, we define our test cases. To validate the code coverage for our test cases, we use the approach of mutant based testing. By running this mutated code on our virtual prototype in the virtual test environment, we are able to efficiently validate the code coverage and are able to detect bugs in the application code or detect dead code that is not executed. Finding non-executing code leads to redefinition of our test cases by either changing the test environment or the application code in the case of dead code. We implemented the virtual test environment on top of the third party low cost VR system Unity 3D, which is frequently used in entertainment and education. We demonstrate our concepts by the example of our BeBot robot vehicles. The implementation is based on our self-optimizing real-time operating system ORCOS and we used the tool CERTITUDE(TM) for generating the mutations in our application code. Our BeBot virtual prototype in our virtual test environment implements the same low-level interface to the underlying hardware as the real BeBot. This allows a redirection of commands in ORCOS to either the real or the virtual BeBot in order to provide a VR based platform for early software development as well as ensures comparable conditions under both environments. Our example applies a virtual BeBot that drives through a labyrinth utilizing its IR sensors for navigation. The mutant based testing checks if all situations implemented by the software to navigate through the labyrinth are covered by our tests.

Download Full-text

FPGA based chip emulation system for test development and verification of analog and mixed signal circuits (abstract only)

Proceedings of the 18th annual ACM/SIGDA international symposium on Field programmable gate arrays - FPGA '10 ◽

10.1145/1723112.1723165 ◽

2010 ◽

Author(s):

Rahul Bhattachrya ◽

Santosh Biswas ◽

Siddhartha Mukhopadhyay

Keyword(s):

Test Development ◽

Mixed Signal ◽

Mixed Signal Circuits

Download Full-text

Automotive Lidar Modelling Approach Based on Material Properties and Lidar Capabilities

Sensors ◽

10.3390/s20113309 ◽

2020 ◽

Vol 20 (11) ◽

pp. 3309 ◽

Cited By ~ 1

Author(s):

Stefan Muckenhuber ◽

Hannes Holzer ◽

Zrinka Bockaj

Keyword(s):

Infrared Spectrum ◽

Material Properties ◽

Incidence Angle ◽

Lidar Measurement ◽

Automated Driving ◽

Measurement Device ◽

Test Environment ◽

Physical Test ◽

Virtual Test ◽

Modelling Approach

Development and validation of reliable environment perception systems for automated driving functions requires the extension of conventional physical test drives with simulations in virtual test environments. In such a virtual test environment, a perception sensor is replaced by a sensor model. A major challenge for state-of-the-art sensor models is to represent the large variety of material properties of the surrounding objects in a realistic manner. Since lidar sensors are considered to play an essential role for upcoming automated vehicles, this paper presents a new lidar modelling approach that takes material properties and corresponding lidar capabilities into account. The considered material property is the incidence angle dependent reflectance of the illuminated material in the infrared spectrum and the considered lidar property its capability to detect a material with a certain reflectance up to a certain range. A new material classification for lidar modelling in the automotive context is suggested, distinguishing between 7 material classes and 23 subclasses. To measure angle dependent reflectance in the infrared spectrum, a new measurement device based on a time of flight camera is introduced and calibrated using Lambertian targets with defined reflectance values at 10 % , 50 % , and 95 % . Reflectance measurements of 9 material subclasses are presented and 488 spectra from the NASA ECOSTRESS library are considered to evaluate the new measurement device. The parametrisation of the lidar capabilities is illustrated by presenting a lidar measurement campaign with a new Infineon lidar prototype and relevant data from 12 common lidar types.

Download Full-text