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SIMULATION


Advanced simulator from Ansible Motion tests driver interventions on ADAS equipped and autonomous vehicles.


Simulated Autonomy


Motion. The latest iteration of the company’s Delta Driver- in-the-Loop (DIL) simulator provides a safe and repeatable laboratory environment to test and validate the myriad ADAS systems that are increasingly being fitted to new cars.


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ASSESSING THE UNEXPECTED With the driver assistance systems market set to grow to 70 billion USD by 2024, fuelled by vehicle manufacturers pushing toward increasing levels of autonomy to address emerging legislation, the issue of how real people might react to a car receiving more notifications – or even taking control – is one that car makers are investigating. “Car makers are introducing more driver assistance technologies, but their level and method of intervention differs by car brand,” says Kia Cammaerts, founder and director of Ansible Motion. “If a car does something unexpected, we are able to test what the driver and occupant reactions will be in our simulator laboratory, well in advance of cutting any metal. Our latest simulator enables car manufacturers to design better and safer vehicles and assess many proposed technologies early in the design cycle.”


NEW TRICKS To create the most immersive human simulation experiences and therefore the most meaningful pre-validation results, Ansible Motion’s simulator lab in Norfolk has now added a number of new features, such as new cabin environments that reflect OEM styling and human interaction features and new software connectivity that allows deeper environment and sensor simulation, coupled with Ansible Motion’s proprietary motion, vision and audio environment that ‘tricks’ drivers and occupants into believing they are experiencing a real vehicle and its ADAS or autonomous technologies. “We aim to deliver compelling experiences to connect real people to the world of simulation. This method of providing virtual ride and drive experiences has proven to be highly


16 /// Automotive Test & Validation Vol 2 No. 1


new simulator to help car makers better understand how drivers will cope with and respond to the rising number of driver assistance (ADAS) and autonomous (AI) automotive technologies has been revealed by Ansible


❱ ❱ Latest Ansible Motion simulator generates millions of scenarios that allow real people to experience new automotive driver assistance technologies


❱ ❱ Lab simulator features new cabin environments that reflect OEM styling


effective for vehicle constructors as they trial their new concepts,” claims Cammaerts.


CUTTING EVALUATION TIMES With the ability to create and explore an incredible number of scenarios in a short amount of time, Ansible Motion’s simulator means engineers can conduct vast quantities of experimental variations that might consume a hundred years of testing time in the real world within a few months. Examples include the validation of Autonomous Emergency Braking (AEB) systems that rely upon multiple sensor feeds and vehicle piloting logic algorithms to respond to various situations such as traffic and pedestrian intrusions.


VALIDATING DRIVER EXPECTATIONS Other system validation examples include lane departure warnings and assistance, intelligent speed adaption and driver monitoring for drowsiness and distraction. Cammaerts cites a recent example of how drivers in the Chinese market expect different intervention cues for lane departure warning compared to their US counterparts. “There are cultural differences and expectations to respond to audible or visual warnings. Validating this in our simulator prevents frustration, dissatisfaction or confusion when vehicles deployed in different markets are required to interact in critical situations.” With the burgeoning need to validate more and more driver


assistance systems and autonomous functions coupled with user expectation variations, the number of possible scenarios grows every day, according to Cammaerts. “Of course, it’s impossible to validate every situation on a proving ground test track or in the real world. There simply isn’t time,” he concludes


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