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Self-Driving Trucks: A Great Opportunity for the Logistics Industry and a Challenge in Development and Validation
SELF-DRIVING TRUCKS: A GREAT
OPPORTUNITY FOR THE LOGISTICS INDUSTRY AND A CHALLENGE IN DEVELOPMENT AND VALIDATION
by Dominik Doerr, dSpace
DSPACE
Self-driving trucks offer opportunities for the logistics industry and are a crucial future technology alongside e-mobility or hydrogen-based propulsion. The advantages of autonomously driven trucks are promising, especially truck driver shortages.
Self-driving truck applications have benefits when compared to other vehicles. Many truck transports are in areas that are less complex than urban transport, including freeways, highways and geofenced spaces like facilities or company grounds. Nevertheless, autonomous driving applications for trucks are a challenge for which new approaches and methods must be introduced.
Building public trust of any autonomous vehicle requires demonstrating that their systems have been thoroughly tested in every conceivable traffic situation. Two factors make it possible to validate autonomous vehicles. First, a paradigm shift away from the number of driven miles in favor of scenario-based testing. Second, moving the majority of tests to a virtual test environment. A software-based test environment makes scaling tests possible, allowing a greater number of tests in a shorter period.
In scenario-based testing, certain driving situations are selected in which the driving functions are brought to their limits by special traffic or traffic participants with erratic behavior. These situations can be simulated in a virtual environment where they can be used and reused to test the vehicle’s function without posing a safety hazard. If these scenarios can also be abstracted and made parameterizable,
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changing the parameter values can generate similar scenarios that push the driving function to its limits. This allows for a large number of tests to make sure that the function behaves correctly in every situation.
Reusing Models for SIL and HIL Testing
The virtual test environment in which these scenarios are executed and the driving function is tested also has to meet certain criteria. First, the models used for the vehicle behavior, such as vehicle dynamics, motor and brakes, have to simulate realistic behavior. To ensure this, specific driving maneuvers must be completed in a real test drive and then in the virtual simulation environment. This is also the way to validate models that replicate the reaction of other traffic participants to the test vehicle. In addition, the virtual sensors must perceive the environment and vehicle under test as they would in reality.
Second, the results must be reproducible. This can only be achieved by using deterministic models. The deterministic models must have short computation times. This is the only way to complete the scenarios because computation time is finite. It is vital that all models be simulated together in real time or even faster, especially for systems tested on hardware-in-the-loop (HIL) test benches, where the final electronic control unit (ECU) is available as real hardware for the virtual vehicle and environment. The ECU must receive the required signals in the correct timeframe. If not, the ECU enters an error state, and the test is no longer meaningful.
High-performance models are also required for softwarein-the-loop (SIL) tests, where the simulation environment and the tested function are available as software. By scaling this simulation, many tests can be executed in parallel.
Functional Safety and ISO 26262
Regulations and standards ensure that driving functions installed in road-legal vehicles are safe. ISO 26262 is used whenever electronic functions and software that affect functional safety are in the vehicle. Using tools or components that are already ISO 26262 certified can be helpful. As manufacturers identify potential component or software suppliers, making sure the product is ISO 26262 certified would allow them to focus on the rest of the process chain with the certainty that the functions developed meet the requirements. |
Dominik Doerr works in automated driving and software solutions, dSPACE.
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