An apparatus for estimating a motion of a vehicle occupant, and a method therefor, can store motion estimating models of a vehicle occupant, collect behavior data of a vehicle, determine a traveling mode of the vehicle based on a longitudinal acceleration among the behavior data of the vehicle, and estimate a motion of the vehicle occupant using at least one of the motion estimating models corresponding to the traveling mode of the vehicle. The motion estimating models can include a first model corresponding to a dynamic mode of the vehicle and a second model corresponding to a steady state mode of the vehicle.

An embodiment of the present disclosure discloses a method for determining a collision risk state, an apparatus, an electronic device and a storage medium, wherein the method includes: determining first ego vehicle state information of a vehicle at a current time frame and first obstacle state information of an obstacle around the vehicle at the current time frame; predicting, based on the first ego vehicle state information, first position probability distribution information of the vehicle at a future time frame; predicting, based on the first obstacle state information, second position probability distribution information of the obstacle at the future time frame; and determining the collision risk state of the vehicle with the obstacle based on the first position probability distribution information and the second position probability distribution information corresponding to the future time frame.

Disclosed herein are a method and apparatus for recognizing driving information using multiple sensors. The method for recognizing driving information according to an embodiment of the present disclosure includes generating a magnetic sensing signal from magnetic paint applied to road markings, generating a frequency-converted signal using the magnetic sensing signal, and generating driving information for a vehicle using the frequency-converted signal.

A system controls a vehicle. The vehicle implements at least one control application using a variable measured by at least one sensor of a perception system installed in the vehicle. The control system includes an adaptive controller to dynamically activate one or more elementary controllers of a set of elementary controllers including at least two elementary controllers, each elementary controller can apply a control function of a vehicle parameter acting on actuators of the vehicle, the control functions being separate, based on a precision indicator of the perception system determined according to a real-time value of the variable.