A vehicle exterior environment recognition apparatus includes a travel path derivation unit, a speed derivation unit, and a follow-up controller. The travel path derivation unit estimates an own-vehicle travel path and derives a target-vehicle travel path that contains a point on a target vehicle and forms a parallel curve to the own-vehicle travel path. The speed derivation unit derives a target-vehicle speed vector. The follow-up controller makes a follow-up control based on the target-vehicle speed vector on the condition that an angle formed by the target-vehicle speed vector and a tangential line to the target-vehicle travel path at the point on the target vehicle falls within a predetermined angular range, and makes the follow-up control based on a tangential speed component of the target-vehicle speed vector on the condition that the angle falls out of the angular range.

A vehicle exterior environment recognition apparatus includes a travel path derivation unit, a speed derivation unit, and a follow-up controller. The travel path derivation unit estimates an own-vehicle travel path and derives a target-vehicle travel path that contains a point on a target vehicle and forms a parallel curve to the own-vehicle travel path. The speed derivation unit derives a target-vehicle speed vector. The follow-up controller makes a follow-up control based on the target-vehicle speed vector on the condition that an angle formed by the target-vehicle speed vector and a tangential line to the target-vehicle travel path at the point on the target vehicle falls within a predetermined angular range, and makes the follow-up control based on a tangential speed component of the target-vehicle speed vector on the condition that the angle falls out of the angular range.

A driving apparatus includes a body; at least one sensor that is exposed to an outside of the body and configured to sense a user input for controlling driving of the body; a controller configured to generate at least one control command for driving of the body according to the sensed user input; and a motor that is configured to generate a driving force for driving the body according to the generated at least one control command.

A system includes a vehicle parameter estimation module and a vehicle actuator control module. The vehicle parameter estimation module is configured to generate a first estimate of a vehicle parameter based on operating conditions of a vehicle measured or estimated at a first time. The vehicle parameter includes at least one of a tire cornering stiffness of the vehicle and an understeer coefficient of the vehicle. The vehicle parameter estimation module is also configured to determine an error value based on the first estimate of the vehicle parameter and values of the vehicle operating conditions measured or estimated at a second time that is later than the first time. The vehicle parameter estimation module is further configured to generate a second estimate of the vehicle parameter based on the first estimate of the vehicle parameter and the error value. The vehicle actuator control module is configured to control an actuator of the vehicle based on the second estimate of the vehicle parameter.

A system includes a vehicle parameter estimation module and a vehicle actuator control module. The vehicle parameter estimation module is configured to generate a first estimate of a vehicle parameter based on operating conditions of a vehicle measured or estimated at a first time. The vehicle parameter includes at least one of a tire cornering stiffness of the vehicle and an understeer coefficient of the vehicle. The vehicle parameter estimation module is also configured to determine an error value based on the first estimate of the vehicle parameter and values of the vehicle operating conditions measured or estimated at a second time that is later than the first time. The vehicle parameter estimation module is further configured to generate a second estimate of the vehicle parameter based on the first estimate of the vehicle parameter and the error value. The vehicle actuator control module is configured to control an actuator of the vehicle based on the second estimate of the vehicle parameter.

The present invention relates generally to the field of lane-keeping devices. More specifically, the present invention relates to a device that is primarily comprised of a housing, further comprised of at least one button, at least one laser emitter, a battery, and a light sensor. Further, the device is comprised of a bottom wall, further comprised of at least one fastener. The device is also comprised of a top wall that may be comprised of a solar panel to power the device. Further, the device, via laser emitter, emits a light beam directed out in front of the vehicle onto the roadway. The light beam shown on the roadway allows the driver of the vehicle to know precisely where in the lane their vehicle is located. The device further allows for the light emitter to be changed to encompass an array of different intensities and distances.

The present invention relates generally to the field of lane-keeping devices. More specifically, the present invention relates to a device that is primarily comprised of a housing, further comprised of at least one button, at least one laser emitter, a battery, and a light sensor. Further, the device is comprised of a bottom wall, further comprised of at least one fastener. The device is also comprised of a top wall that may be comprised of a solar panel to power the device. Further, the device, via laser emitter, emits a light beam directed out in front of the vehicle onto the roadway. The light beam shown on the roadway allows the driver of the vehicle to know precisely where in the lane their vehicle is located. The device further allows for the light emitter to be changed to encompass an array of different intensities and distances.

A vehicle system includes an electronic control unit. The electronic control unit is configured to execute a first program, a second program, and a third program. The first program is configured to recognize an object present around a vehicle, the second program is configured to store information related to the recognized object as time-series map data, and the third program is configured to predict a future position of the object based on the stored time-series map data. The first program and the third program are configured to be (i) first, individually optimized based on first training data corresponding to output of the first program and second training data corresponding to output of the third program, and (ii) then, collectively optimized based on the second training data corresponding to the output of the third program.

Among other things, information generated by sensors of a mobile phone and indicative of motion of the mobile phone and state information indicative of a state of operation of the mobile phone are monitored. Based on the monitoring, distraction by a user of the mobile phone who is a driver of a vehicle is determined.

Among other things, information generated by sensors of a mobile phone and indicative of motion of the mobile phone and state information indicative of a state of operation of the mobile phone are monitored. Based on the monitoring, distraction by a user of the mobile phone who is a driver of a vehicle is determined.