This session addresses technical research related to path planning and control for ADAS and autonomous vehicle systems. The topics cover latest technologies of both longitudinal and lateral path planning and motion control for various real-world applications, such as vehicle speed control, park assist/self-parking, lane changing, evasive steering, etc.
M203 is for the presentation of new results, research developments, and applications related to test activities and methods employed in automotive engineering and research. Papers with an emphasis on the application of tests and test methods to automotive design and evaluation are highly encouraged. Papers with a research focus or come from other industries that may have a potential impact on automotive testing and test methods are also welcome.
The spectrum of papers solicited for this session reflect the truly multi-disciplinary nature of the field of Multi-Dimensional Engine Modeling. The session covers advances in the development and application of models and tools involved in multi-dimensional engine modeling. This includes advances in chemical kinetics, combustion and spray modeling, turbulence, heat transfer, mesh generation, and approaches targeting improved computational efficiency. Papers employing multi-dimensional modeling to gain a deeper understanding of processes related to turbulent transport, transient phenomena, and chemically reacting, two-phase flows are also encouraged.
The spectrum of papers solicited for this session reflect the truly multi-disciplinary nature of the field of Multi-Dimensional Engine Modeling. The session covers advances in the development and application of models and tools involved in multi-dimensional engine modeling. This includes advances in chemical kinetics, combustion and spray modeling, turbulence, heat transfer, mesh generation, and approaches targeting improved computational efficiency. Papers employing multi-dimensional modeling to gain a deeper understanding of processes related to turbulent transport, transient phenomena, and chemically reacting, two-phase flows are also encouraged.
This session focuses on automotive applications of artificial intelligence (AI) and machine learning (ML), including use of connected vehicle data sources, predictive or prescriptive, preventive maintenance, and big data analytics.
For Tier 1 suppliers, there has never been a greater time of both innovation and challenge in the automotive industry. Expectations from OEM’s and those in the Tier 2 and Tier 3 group of suppliers are changing year-to-year and order-to-order. Everyone has a greater urgency to acquire market share in EV and AV markets and Tier 1’s are in a key position. Changing consumer buying habits and a complex business environment in transition create challenges to the role the Tier 1 Supplier has in the success and return on investment for the entire supply chain. Come hear our panelist address these critical issues. Learn more about the Panelists
As information and entertainment to and from the vehicle (Telematics) become more prolific it is critical to increase our understanding of how the driver understands and uses Telematics functions. Equally critical is how those functions impact the driver. This session will address those issues.