Physics-Based Sensor Validation via Ansys: Driving New Automotive Innovations
Abstract
Autonomous driving is revolutionizing the global automotive industry. With every new model, cars are smarter and more capable of independently responding to external signals like lane markings, highway signs, other cars and pedestrians.
However, formulating a correct response via artificial intelligence depends on flawless sensor performance. With so many sensors supporting the advanced driver assistance system (ADAS), and so many different factors affecting their performance, how can automotive engineers quickly and confidently verify sensor reliability and complete sensor system? The answer lies in conducting physics-based simulations that accurately predict how sensors will perform under real-world driving conditions.
Recently BMW Group collaborated with Ansys to analyze how the combination of Ansys Speos and Ansys HFSS can accelerate the sensor development process of vehicular perception systems by simulating sensor performance under varying road and weather conditions. The analysis proves that physics-based simulation can support faster, more cost-effective development cycles for ADAS innovations, without sacrificing analytic rigor.
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INDEX
Consumers are looking for new features that make their lives easier and their driving safer.
Ansys simulation makes it easy to analyze sensor performance at a very early stage in the development of a new car model
By optimizing sensor design at the concept phase quickly and cost-effectively, ADAS development teams can focus on the kinds of extreme system-level innovations that are driving greater and greater autonomy