A system for determining and executing an autonomous-vehicle vehicle travel route, including a hardware-based processing unit and a non-transitory computer-readable storage medium. The storage medium includes an input-interface module that, when executed by the hardware-based processing unit, obtains factor data indicating factors relevant to determining a vehicle travel route. The storage medium also includes a route-generation module comprising a route-complexity sub-module. The route-complexity sub-module determines, based on the factor data, route-complexity indexes corresponding to respective optional routes. The route-generation module determines the vehicle travel route based on the route-complexity indexes. The storage in various embodiments includes other sub-modules associated with other elements, such as autonomous-driving safety, comfort, stress, pollution, scenery, or infrastructure-accessibility, for determining and executing an autonomous-driving travel route. In some embodiments, the storage includes an autonomous-driving perceptions module and an autonomous-driving control module for modifying vehicle functions in executing the autonomous-driving travel route.

A method for automated parking of a vehicle includes providing image data captured by at least one vision sensor of the vehicle to an ECU, and providing a parking scene map to the ECU. A free parking space present in the parking scene map is selected as a target parking space, and a parking path from a current vehicle location to the target parking space is formulated. The vehicle is autonomously maneuvered along the parking path towards the target parking space. Responsive to detection of a pedestrian in the target parking space or along the parking path, the vehicle is stopped until the detected pedestrian moves out of the target parking space or out of the parking path. After the detected pedestrian has moved out of the target parking space or out of the parking path, the vehicle continues autonomous maneuvering along the parking path towards the target parking space.

[Solving Means] An information presentation apparatus includes an acquisition unit, an asymmetric acceleration generating unit, and a signal generating unit. The acquisition unit is configured to acquire at least either one of information inside a vehicle or information outside the vehicle. The asymmetric acceleration generating unit is configured to present haptic feedback information to a user via a steering unit provided in the vehicle by generating asymmetric acceleration. The signal generating unit is configured to generate a driving signal on the basis of information acquired by the acquisition unit and send the driving signal to the asymmetric acceleration generating unit.

Provided is a vehicle control device mounted on a vehicle including an environment recognition unit and an automatic operation control unit. The environment recognition unit is configured to acquire information on surrounding environment around the vehicle, and provide the automatic operation control unit with the information on the surrounding environment. The automatic operation control unit is configured to acquire select one proposed traveling line, as a target traveling line of the vehicle, from a plurality of proposed traveling lines, on a basis of the information on the surrounding environment, and allow the vehicle to travel along the target traveling line. The vehicle control device is configured to acquire provide display of an image of one or more non-selected traveling lines other than the proposed traveling line selected as the target traveling line from the plurality of proposed traveling lines, together with display of an image of the target traveling line.

A method controls a motion of the host vehicle in the environment according to a trajectory and adjusts the trajectory of the vehicle based on the levels of risk posed by the motion of other vehicles. The method determines a set of feasible trajectories of hypothetical vehicles traveling in a driving area of the host vehicle and determines a level of risk of each feasible trajectory as a combination of the probability of the feasible trajectory to intersect with the trajectory of the host vehicle and the probability of the feasible trajectory to be followed by at least one vehicle. The method adjusts the trajectory of the host vehicle in response to assessing the levels of risk of the feasible trajectories.

A vehicle control device mounted in a vehicle comprises an object detection section for detecting a connection path which is connected to a traveling road, a speed distribution area setting section for setting a speed distribution area, and an avoidance control execution section for executing avoidance control of changing the vehicle speed and/or a steering direction of the vehicle to prevent the vehicle speed from exceeding the allowable upper limit value in the speed distribution area, wherein the speed distribution area setting section is configured, upon detection of the connection path by the object detection section, to set the speed distribution area on an assumption that an object exists in a connection region between the detected connection path and the traveling road.

A recognition device mounted on a vehicle to recognize a traveling area in which the vehicle travels, the recognition device comprising: an edge detection unit for detecting an edge line that defines one edge of the traveling area in a lateral direction orthogonal to a traveling direction of the vehicle; an object detection unit for detecting a position of a moving object existing in front of the vehicle in the traveling direction; and a correction unit for correcting, when the moving object is positioned between the vehicle and the edge line in the lateral direction, a position in the lateral direction of the edge line detected by the edge detection unit to a position between the vehicle and the moving object, or to a position within a width of the moving object.

A method and a system for predicting a near future path and an associated output control signal for a vehicle. Prediction sensor data, vehicle driving data, and road data are collected. An input control signal indicative of an intended driving action is received. The sensor data and the vehicle driving data are pre-processed to provide a set of object data comprising a time series of previous positions of a respective object relative the vehicle, a time series of the previous headings of the object, and a time series of previous velocities of the object. The object data, the road data, the vehicle driving data, the control signal, and the sensor data are processed in a deep neural network. Based on the processing in the deep neural network, a predicted path output and an output control signal are provided.

A method and system for predicting a near future path for a vehicle. For predicting the near future path sensor data and vehicle driving data is collected. Road data is collected indicative of a roadway on the presently occupied road for the vehicle. The sensor data and the vehicle driving data is pre-processed to provide object data comprising a time series of previous positions, headings, and velocities of each of the objects relative the vehicle. The object data, the vehicle driving data, and the road data is processed in a deep neural network to predict the near future path for the vehicle. The invention also relates to a vehicle comprising the system.

Systems and methods for communicating autonomous vehicle operations are provided. In one example embodiment, a computer implemented method includes obtaining data associated with the autonomous vehicle. The method includes identifying an object within the surrounding environment of the autonomous vehicle or a planned vehicle motion action of the autonomous vehicle based at least in part on the data associated with the autonomous vehicle. The method includes determining an audible vehicle indication that is associated with the identified object or the planned vehicle motion action. The audible vehicle indication is indicative of a type of the object or a type of the planned vehicle motion. The method includes outputting, via one or more output devices onboard the autonomous vehicle, the audible vehicle indication.