Linda Pipkorn and Bryan Reimer Talk AI and Driving at AI Sweden Events
by Niels Wu
AgeLab researchers Linda Pipkorn and Bryan Reimer participated in events on AI’s growing prominence in the automotive industry in collaboration with AI Sweden.
Pipkorn presented findings from three studies at AI Sweden’s inaugural AI Labs Fika (“fee-kuh”). The studies used data collected in real traffic environments and focused on how humans interact with increasing levels of vehicle automation- assisted driving, automated driving, and autonomous driving.
The first study analyzed changes in drivers’ glance and hand-on-wheel behaviors when performing non-driving tasks while using Tesla Autopilot. The second study considered how drivers deploy visual attention in response to takeover requests on public roads. The third study used a Markov model to assess observable pedestrian and driver cues such as gazes and vehicle movements in scenarios where a pedestrian crosses a road in front of an approaching vehicle. Pipkorn’s work has significant implications regarding the design of autonomous vehicle technology and calls attentions to the importance of aligning AI development with human behaviors.
Reimer moderated a panel discussion at AI Sweden’s AI in Automotive event. Panelists were automotive industry representatives Erik Coelingh, Mats Moberg, and Johan Löfvenholm.
A central discussion topic was AI’s transformative potential to enhance driver safety and comfort by processing complex traffic environments in real-time and making adjustments according to individuals’ driving behaviors. The panel also discussed industry concerns surrounding sensor integration, data privacy, energy efficiency, and the lifespans of AI systems. Finally, panelists discussed the need for localized AI solutions and speculated about a future in which AI systems become self-sufficient and integrated into public infrastructures. Regarding the future of AI development in the automotive sector, Head of AI Sweden’s AI Labs Mats Nordlund stressed the potential for cross-industry cooperation and called for the establishment of a collaboration platform to design, fund, and execute projects.
Watch the full AI in Automotive panel event here.
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