Dynamic user driving profile logic: BayerRecent Research Landscape
Erratic driving patterns increase liability and fuel costs, which are mitigated through real-time evaluation of vehicle telemetry. Precise algorithmic processing of motion data allows for objective risk profiling and automated intervention.
What technical problems is Bayer addressing in Dynamic user driving profile logic?
Driver inattentiveness during automation
(50)evidences
Inconsistent vehicle dynamics and unpredictable environmental factors lead to hazardous transitions between automated and manual control. Addressing this prevents system disengagement failures and catastrophic loss of vehicle stability.
Static vehicle behavior mismatch
(29)evidences
Low user engagement with digital offers and functions due to poor contextual timing. Reducing cognitive load and interaction friction increases system utility and safety.
Inadequate situational awareness communication
(20)evidences
Vehicle occupants often lack clarity regarding the autonomous system's perception and intended maneuvers. Providing proactive visualization and messaging mitigates cognitive disconnect and mistrust during automated transitions.