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cs.HC2026
A Human-Like Pedestrian Model for Automated Driving Simulations
Ruofeng Wang, Patrick Ebel, Philipp Wintersberger +1
Automated vehicles must be able to interact with pedestrians safely and efficiently across diverse traffic situations. Although driving simulators offer a scalable testbed for lear…
cs.HC2025★ 1 cited
Quo-Vadis Multi-Agent Automotive Research? Insights from a Participatory Workshop and Questionnaire
Pavlo Bazilinskyy, Francesco Walker, Debargha Dey +5
The transition to mixed-traffic environments that involve automated vehicles, manually operated vehicles, and vulnerable road users presents new challenges for human-centered autom…