cogniBIT and dSPACE Collaborate to Make ADAS/AD More Realistic
April 25, 2022
News
dSPACE is pairing its Automotive Simulation Models (ASM) simulation environment with driveBOT, cogniBIT's AI-based driver model, to integrate the unpredictable behavior of human drivers into simulation.
cogniBIT and dSPACE are working together to make traffic scenarios for the development and testing of autonomous vehicles even more realistic. In a first stage, dSPACE is pairing its simulation environment Automotive Simulation Models (ASM) with driveBOT, cogniBIT's AI-based driver model, to integrate unpredictable behavior of human drivers into simulation. In the future, behavior models from further road users, such as pedestrians or motorcyclists, will be successively integrated into simulations.
Traffic situations are influenced by the behavior of individual road users. This includes emotions such as fear, surprise, and happiness but also limitations such as the road users' impaired view. Highly automated and autonomous driving will become safer in practice only once all of these aspects are realistically integrated into the simulation for the development and testing of functions for autonomous driving. driveBOT, the AI-based driver model from cogniBIT, lets users replicate human-like behavior in the simulation and reproduce realistic traffic scenarios.
To make the assistance systems more realistic in the next stage, further factors can be included using cogniBIT's AI-based driver models, for example, a nervous new driver or a stressed driver behind the wheel. The AI-based driver models from cogniBIT can be used in the ASM simulation environment to simulate more realistic surrounding traffic, not only for the ego-vehicle, but also in multi-agent simulation for the surrounding traffic participants (fellows). The realistic movement of the fellows allows simulated traffic scenarios to be varied efficiently, to identify corner cases, and therefore, to define the limits of a driving function.
"With its ASM simulation environment, dSPACE provides a powerful and widely-used tool in the industry for developing functions for automated and autonomous driving. We at cogniBIT are pleased to be able to complement ASM's already-high fidelity in areas such as vehicle dynamics, sensor and environment modeling with a valid driver and road user model," says Dr. Lukas Brostek, co-founder and CEO of cogniBIT.
For more information, visit: https://www.dspace.com/en/inc/home/news/dspace_pressroom/press/cognibit-and-dspace-adas.cfm
Tiera Oliver is the assistant managing editor at Embedded Computing Design. She is responsible for web content editing, product news, and story development. She also manages, edits, and develops content for ECD podcasts, including Embedded Insiders.
She utilizes her expertise in journalism and content management to oversee editorial content, coordinate with editors, and ensure high-quality output across web, print, and multimedia platforms. She manages diverse projects, assists in the production of digital magazines, and hosts company podcasts by conducting in-depth interviews with industry leaders to deliver engaging and insightful discussions.
Tiera attended Northern Arizona University, where she received her bachelor's in journalism and political science. She was also a news reporter for the student-led newspaper, The Lumberjack.
