Systems and methods for characterizing a driving style of an autonomous vehicle are presented. A system may include one or more sensors configured to collect information concerning driving characteristics; a memory containing computer-readable instructions for evaluating the driving characteristics for a pattern(s) correlatable with a driving style of the autonomous vehicle and for characterizing aspects of driving style based on the one or more patterns; and a processor configured to evaluate the driving characteristics for the one or more patterns correlatable with the driving style, and characterize aspects of the driving style based on the pattern(s). Corresponding methods and non-transitory media are disclosed.

Vehicle systems include features for performing remote park assist (RePA) operations. One system include a feature where a user provides a continuous input via a touchscreen on a mobile device. The mobile device transmits a message and a vehicle autonomously traverses a calculated parking path while the message is being received by the vehicle. Another system include a feature where the vehicle autonomously move to a parking space based on data received from the mobile device. The mobile device receives user inputs on a display showing representations of the vehicle and its surrounding areas to generate the data. Another system include a feature where the mobile device determines whether the user is a first time user of a RePA application. The mobile device operates in a certain training mode based on the determination.

An automatic parking system is provided. The automatic parking system includes a camera processor that acquires images around a subject vehicle, converts the acquired images into external images and synthesizes the external images. A sensor processor measured spaced distances between the subject vehicle and surrounding vehicles. A parking space recognizing unit periodically receives the spaced distances and the external images and comparing the consecutive external images with the spaced distances using an image recognition technology to recognize parking areas. A controller calculates a moving path between a current position of the subject vehicle and an optimal parking area and operates the subject vehicle based on the moving path.

In an example, a method determines a first controllable vehicle traveling along a mitigation road segment of a roadway and determines a control lane in the mitigation road segment. The control lane includes the first controllable vehicle and is impedible by the first controllable vehicle. The method determines a first open lane in the mitigation road segment and applies a target mitigation speed to the first controllable vehicle in the control lane. The first open lane is adjacent to the control lane in the mitigation road segment and the target mitigation speed is based on a traffic state of the first open lane. The target mitigation speed adjusts a traffic stream that flows through the first open lane to mitigate traffic congestion located downstream of the mitigation road segment.

The technology relates to developing a highly accurate understanding of a vehicle's sensor fields of view in relation to the vehicle itself. A training phase is employed to gather sensor data in various situations and scenarios, and a modeling phase takes such information and identifies self-returns and other signals that should either be excluded from analysis during real-time driving or accounted for to avoid false positives. The result is a sensor field of view model for a particular vehicle, which can be extended to other similar makes and models of that vehicle. This approach enables a vehicle to determine when sensor data is of the vehicle or something else. As a result, the detailed modeling allowing the on-board computing system to make driving decisions and take other actions based on accurate sensor information.

A method for operating a support system for preventing a motor vehicle from being left stranded due to a lack of drive energy is disclosed. The, wherein the motor vehicle has at least one driver assistance system and an internal combustion engine, which is operated with fuel as a first energy source of drive energy, and/or an electric motor, which is operated with electric energy of a battery as a second source of drive energy. The motor vehicle is autonomously driven to a charging and/or filling location using a vehicle system, which is designed to guide the motor vehicle in a fully automatic manner, when an emergency criterion is met which is constantly evaluated during an operational phase of the motor vehicle, and indicates to the driver that the motor vehicle will be left stranded if a charging and/or filling process is not carried out.

To provide a mechanism for selectively taking an external sound from an appropriate sound source into an internal space of a moving object. An information processing apparatus including an acquisition unit configured to acquire an audio signal from a sound source existing outside a moving object, a generation unit configured to generate an audio signal from a target sound source at a distance from the moving object, the distance being a distance according to a speed of the moving object, of the sound sources, on the basis of the audio signal acquired by the acquisition unit, and an output control unit configured to output the audio signal generated by the generation unit toward an internal space of the moving object.

An apparatus for providing a traveling in a vehicle is provided. The apparatus includes a plurality of sensors configured to obtain information about the vehicle and information about an external object, a steering device, an input device configured to receive a lane change command from a driver of the vehicle, and a control circuit configured to be electrically connected with the one or more sensors, the steering device, and the input device. The control circuit is configured to control the vehicle to travel along a deviated path in a driving path of the vehicle based on at least one of the information obtained by the plurality of sensors or an operation of the steering device, to complete a lane change, and to control the vehicle to travel along a deviated path in a target lane of the changed lane in response to the received lane change command.

A control system and a method for predicting a location of dynamic objects, for example, of pedestrians, which are able to be detected by the sensors of a vehicle. The control system includes a multitude of sensors and a processing system, which is configured to combine with a first program the objects that are detected by the multitude of sensors to form an object list, each entry of the object list encompassing the location, a speed and an open route for each of the objects, and the object list including a time stamp; and to determine with a second program for at least a portion of the dynamic objects an additional object list from a predefined number of object lists, the additional object list including a time stamp for a future point in time and encompassing at least the location of the dynamic objects.

In general, techniques are described by which a computing system detects low-impact collisions. A computing system includes at least one processor and memory. The memory includes instructions that, when executed, cause the at least one processor to determine whether an object collided with a vehicle based on a comparison of data received from at least one motion sensor configured to measure at least an acceleration of the vehicle and data received from a plurality of level sensors, wherein each level sensor is configured to measure a relative position between a body of the vehicle and a respective wheel of a plurality of wheels of the vehicle. Execution of the instructions further causes the at least one processor to perform one or more actions in response to determining that the object collided with the vehicle.