Engineers have created a new control system for motion management in advanced driver assistance systems. This new control system gives drivers more safety and comfort while driving with ADAS.
"The modern automobile is a complex system of systems. How the functionalities of advanced driver assistance are implemented and coordinated across the systems of the vehicle is generally not made available to the wider research community by the developers and manufacturers," wrote Tzu-Chi Lin, a research engineer with the Warwick Manufacturing Group in the United Kingdom, and an author on the paper. "This paper seeks to begin filling this gap by assembling open source physics models of the vehicle dynamics and ADAS command models."
Currently, the ADAS system tells drivers when they have shifted out of their lane and helps a driver to intentionally change lanes.
"Each of the various types of ADAS systems in service today generally provides a unique feature for the user that is implemented through additional control of one of the vehicle's systems, e.g., braking or steering," Lin wrote. "ADAS systems must not be regarded as a substitute for drivers but rather as a co-driver, even if direct involvement in some of the driving tasks is not required."
The research team integrated vehicle dynamics physics models and ADAS command models to create their new system. To test the system, they ran driving simulations with these combined models to analyze the control from an independent car system could affect a car’s route when it changes lanes. This study found that the steering system caused an undershoot while the brake system caused an overshot.
"On the other hand, the 'coordinated control' strategy successfully damped out the deviation errors, and gave much greater precision in following the intended trajectory," Lin wrote.
The researchers are going to explore the system of systems control architecture. They want to develop fully coordinated control in ADAS. They want to see how the new system will interact with the current system to understand the control performance and stability.
The paper on this research was published in IEEE/CAA Journal of Automatica Sinica (JAS).