Disclosed are a power assisted towing mode control method and system for ecofriendly vehicles. The power assisted towing mode control method is executed to control a power assisted towing mode between a first vehicle as a towing vehicle and a second vehicle as a towed vehicle, and includes determining, by the first vehicle, whether or not an accelerator pedal amount exceeds a threshold value, calculating, by the first vehicle, driver request torque based on the accelerator pedal amount, calculating, by the first vehicle, motor allowable torque based on the driver request torque, receiving, by the second vehicle, the motor allowable torque and calculating motor dischargeable torque based on the motor allowable torque, and performing, by the second vehicle, motor torque output based on the motor dischargeable torque.

Disclosed are a power assisted towing mode control method and system for ecofriendly vehicles. The power assisted towing mode control method is executed to control a power assisted towing mode between a first vehicle as a towing vehicle and a second vehicle as a towed vehicle, and includes determining, by the first vehicle, whether or not an accelerator pedal amount exceeds a threshold value, calculating, by the first vehicle, driver request torque based on the accelerator pedal amount, calculating, by the first vehicle, motor allowable torque based on the driver request torque, receiving, by the second vehicle, the motor allowable torque and calculating motor dischargeable torque based on the motor allowable torque, and performing, by the second vehicle, motor torque output based on the motor dischargeable torque.

The vehicle control device sets a region including a stationary object on a road, calculates a passing position at which a host vehicle and an oncoming vehicle pass each other in accordance with a velocity of the host vehicle and a position and a velocity of the oncoming vehicle, calculates a first score that is a larger value as the velocity of the oncoming vehicle is greater, calculates a second score that is a larger value as an acceleration rate of the oncoming vehicle is greater, integrates the first score with the second score so as to calculate an integration score, and causes the host vehicle to decelerate when the integration score is greater than or equal to a predetermined value or causing the host vehicle to keep the velocity or accelerate when the integration score is smaller than the predetermined value.

The vehicle control device sets a region including a stationary object on a road, calculates a passing position at which a host vehicle and an oncoming vehicle pass each other in accordance with a velocity of the host vehicle and a position and a velocity of the oncoming vehicle, calculates a first score that is a larger value as the velocity of the oncoming vehicle is greater, calculates a second score that is a larger value as an acceleration rate of the oncoming vehicle is greater, integrates the first score with the second score so as to calculate an integration score, and causes the host vehicle to decelerate when the integration score is greater than or equal to a predetermined value or causing the host vehicle to keep the velocity or accelerate when the integration score is smaller than the predetermined value.

A method of controlling an electrified vehicle to prevent a collision thereof includes: determining whether an accelerator pedal is erroneously operated in the situation in which an obstacle is detected to be present in a traveling path; and when it is determined that the accelerator pedal is erroneously operated, performing braking control such that at least one of hydraulic braking or regenerative braking is selectively performed in a plurality of braking sections determined based on a current vehicle speed and a distance to the obstacle.

A driving assistance device includes a storage device configured to store a program and a processor connected to the storage device. The processor executes the program stored in the storage device to acquire information about a target position decided on as a position relative to another moving object located in a second lane when a host moving object merges or changes lanes from a first lane to the second lane and cause a speaker to output a sound obtained by combining a basic sound for acceleration guidance with an additional sound for the acceleration guidance having a higher frequency than the basic sound for the acceleration guidance when the host moving object should accelerate such that position alignment related to a traveling direction of the host moving object is performed with respect to the target position.

A driving assistance device includes a storage device configured to store a program and a processor connected to the storage device. The processor executes the program stored in the storage device to acquire information about a target position decided on as a position relative to another moving object located in a second lane when a host moving object merges or changes lanes from a first lane to the second lane and cause a speaker to output a sound obtained by combining a basic sound for acceleration guidance with an additional sound for the acceleration guidance having a higher frequency than the basic sound for the acceleration guidance when the host moving object should accelerate such that position alignment related to a traveling direction of the host moving object is performed with respect to the target position.

Systems and methods for training a neural network for estimating a trajectory of a vehicle are disclosed. In one embodiment, a system includes one or more processors, and a non-transitory computer-readable medium storing computer-readable instructions. The computer-readable instructions cause the one or more processors to receive sensor data of a plurality of examples from a plurality of vehicle sensors, input the sensor data into a sensor data neural network to generate a sensor data intermediate space and receive structured data of the plurality of examples. The computer-readable instructions cause the one or more processors to input the structured data into a structured data neural network to generate a structured data intermediate space, calculate a first loss between the sensor data intermediate space and the structured data intermediate space using a first loss function, and provide the first loss to the sensor data neural network and the structured data neural network.

Systems and methods for training a neural network for estimating a trajectory of a vehicle are disclosed. In one embodiment, a system includes one or more processors, and a non-transitory computer-readable medium storing computer-readable instructions. The computer-readable instructions cause the one or more processors to receive sensor data of a plurality of examples from a plurality of vehicle sensors, input the sensor data into a sensor data neural network to generate a sensor data intermediate space and receive structured data of the plurality of examples. The computer-readable instructions cause the one or more processors to input the structured data into a structured data neural network to generate a structured data intermediate space, calculate a first loss between the sensor data intermediate space and the structured data intermediate space using a first loss function, and provide the first loss to the sensor data neural network and the structured data neural network.

A method for ascertaining movement variables of a two-wheeled vehicle. The two-wheeled vehicle includes a sensor system including rotational rate, acceleration, and wheel rotational speed sensors. The wheel rotational speed sensor detects at least one measurement pulse per rotation of a wheel of the two-wheeled vehicle. The method includes: acquisition of three-dimensional rotational rates of the two-wheeled vehicle by the rotational rate sensor, acquisition of acceleration values by the acceleration sensor, estimation of a state of movement of the two-wheeled vehicle based on the acquired rotational rates, the state of movement including estimated values for estimated acceleration values and for an estimated speed and for an estimated distance traveled, first correction of the estimated state of movement based on the acquired acceleration values, and ascertaining of an instantaneous speed of the two-wheeled vehicle and/or of a distance traveled by the two-wheeled vehicle, based on the corrected estimated state of movement.