Provided is a method of generating a pseudo-emotion of a vehicle including a wheel, the method including: obtaining a tire force which is an external force exerted on the wheel from a ground surface; deriving an emotion evaluation index as a rating of a pseudo-emotion; and generating the pseudo-emotion based on the derived emotion evaluation index. The emotion evaluation index includes a positive evaluation index as a rating of a positive emotion. The positive evaluation index is derived based on the tire force in such a manner that the larger the tire force is, the higher the positive evaluation index is.

A temporal prediction model for semantic intent understanding is described. An agent (e.g., a moving object) in an environment can be detected in sensor data collected from sensors on a vehicle. Computing device(s) associated with the vehicle can determine, based partly on the sensor data, attribute(s) of the agent (e.g., classification, position, velocity, etc.), and can generate, based partly on the attribute(s) and a temporal prediction model, semantic intent(s) of the agent (e.g., crossing a road, staying straight, etc.), which can correspond to candidate trajectory(s) of the agent. The candidate trajectory(s) can be associated with weight(s) representing likelihood(s) that the agent will perform respective intent(s). The computing device(s) can use one (or more) of the candidate trajectory(s) to determine a vehicle trajectory along which a vehicle is to drive.

A method controls an energy equivalence factor of a motor vehicle including a heat engine and at least one electric motor powered by a storage battery. The method includes estimating a value of the energy equivalence factor proportional to a predetermined maximum value when the difference is lower than the threshold value or proportional to a predetermined minimum value when the difference is higher than the threshold value.

The invention relates to a method for estimating a current wheel circumference of at least one wheel arranged on a vehicle, said method comprising the following steps: (a) determining a reference speed of the vehicle at a point in time by means of a reference apparatus, (b) detecting a wheel rotational speed of the at least one wheel at said point in time by means of a wheel rotational speed sensor, (c) estimating a single wheel-circumference value based on the determined reference speed and the detected wheel rotational speed for said point in time by means of a calculation apparatus, (d) storing at least the estimated single wheel-circumference value in a circular buffer for said point in time, (e) repeating steps (a) to (d) for at least one other point in time, estimating a current wheel circumference based on the single wheel-circumference values stored in the circular buffer by means of the calculation apparatus, outputting the estimated current wheel circumference as a wheel circumference signal. The invention further relates to an associated device.

A driving determination device includes an acquirer configured to acquire at least a captured image of a driving body in a driving direction and information that changes with movement of the driving body; a driving level calculator configured to calculate a driving level for evaluating a driving method for the driving body for each predetermined determination item, using at least one of the acquired captured image and the acquired information that changes with the movement of the driving body; an itemized calculator configured to calculate values based on a plurality of the calculated driving levels for each determination item; and an evaluation result calculator configured to calculate a value for comprehensively evaluating the driving method for the driving body, using the values based on the driving levels for each determination item.

A method for managing a state of charge (SOC) of an energy store of a vehicle comprising storing an encoding of a dynamic weight value, computationally determining an estimated travel time to a stopover location, using the estimated travel time to modify the dynamic weight value to provide an updated dynamic weight value, and responsive to providing the updated dynamic weight value, increasing the SOC of the energy store while the vehicle travels over a roadway to provide a target SoC of the energy store when the vehicle arrives at the stopover location.

Systems, methods, and other embodiments described herein relate to improving identification of a path for an ego vehicle on a roadway. In one embodiment, a method includes, in response to acquiring sensor data from at least one sensor of the ego vehicle about a surrounding environment, identifying roadway elements from the sensor data as cues about the path. The roadway elements include one or more of lane markers of the roadway and surrounding vehicles. The method includes grouping the roadway elements into two or more groups according to characteristics of roadway elements indicating common curvatures. The method includes analyzing the two or more groups according to a confidence heuristic to determine a priority group from the two or more groups that corresponds with a trajectory of the ego vehicle. The method includes providing an identifier for the priority group to facilitate at least path planning for the ego vehicle.

Embodiments of the present disclosure set forth a computer-implemented method comprising receiving, from at least one sensor, sensor data associated with an environment, generating, based on the sensor data, a set of lane change data values associated with positions of at least two vehicles relative to a first lane position in the environment, determining, based on the set of lane change data values, a collision risk value associated with the at least two vehicles attempting to occupy the first lane position, and generating, based on the collision risk value, an output signal to a first vehicle included in the at least two vehicles.

This information processing device is equipped with: an actual travel data acquisition means that acquires actual travel data, which is travel data obtained by the driving of a vehicle by a driver; a simulated travel data acquisition means that uses travel environment data indicating the travel environment associated with the travel, and a driver model that determines the operation of the vehicle with respect to the travel environment, to acquire simulated travel data, which is travel data obtained from a simulator that simulates the driving of the vehicle by the driver; and a comparison means that compares the values of multiple indices of the actual driving data and the values of multiple indices of the simulated travel data, and that outputs the comparison results.

A system and method for adaptive cruise control for defensive driving are disclosed. A particular embodiment includes: receiving input object data from a subsystem of an autonomous vehicle, the input object data including distance data and velocity data relative to a lead vehicle; generating a weighted distance differential corresponding to a weighted difference between an actual distance between the autonomous vehicle and the lead vehicle and a desired distance between the autonomous vehicle and the lead vehicle; generating a weighted velocity differential corresponding to a weighted difference between a velocity of the autonomous vehicle and a velocity of the lead vehicle; combining the weighted distance differential and the weighted velocity differential with the velocity of the lead vehicle to produce a velocity command for the autonomous vehicle; and controlling the autonomous vehicle to conform to the velocity command.