An autonomous vehicle (AV) navigates with limited calibration of sensors and other components. To navigate with a less-reliable sensing and control capacity, the AV uses sensors to detect a navigation path within the environment of the AV. The navigation path may include encoded information describing a destination or distance to information, which may be decoded by the AV to select a navigation path or determine movement of the AV along the path. To control movement of the AV along the path, the AV may monitor the navigation path after the AV executes a motion plan to determine the relative motion of the navigation path within the sensor data. The navigation path moving towards or away from a sensor may be used to determine whether the AV is moving towards or away from the navigation line despite relatively unknown sensed characteristics of the environment or actual movement in the environment.

The subject disclosure relates to techniques for providing a condition into a path prediction model that results in the path prediction model providing an object path prediction corresponding to the condition that, if not for the condition, the object path prediction would not be output by the path prediction model. A process of the disclosed technology can include inputting at least one condition of interest into the path prediction model, inputting features descriptive of an environment and objects in the environment into the path prediction model, and receiving multiple predicted paths for the specific object from the path prediction model. The multiple predicted paths can include at least one predicted path that corresponds to the at least one condition that, if not for the at least one condition, the path prediction model would not output the at least one predicted path that corresponds to the at least one condition.

According to an aspect of an embodiment, operations may comprise accessing a set of vehicle poses of one or more vehicles; for each of the set of vehicle poses, accessing a high definition (HD) map of a geographical region surrounding the vehicle pose, with the HD map comprising a three-dimensional (3D) representation of the geographical region, determining a measure of constrainedness for the vehicle pose, with the measure of constrainedness representing a confidence for performing localization for the vehicle pose based on 3D structures surrounding the vehicle pose, and storing the measure of constrainedness for the vehicle pose; and for each of the geographical regions surrounding each of the set of vehicle poses, determining a measure of constrainedness for the geographical region based on measures of constrainedness of vehicle poses within the geographical region, and storing the measure of constrainedness for the geographical region.

Systems and methods related to ridesharing may involve receiving a ride request from a user including a desired destination and information associated with a current location of the user, and receive location information of on-demand and of fixed-line ridesharing vehicles and based on the received location information, identify a fixed-line ridesharing vehicle available to pick from a first pick-up location identify an on-demand ridesharing vehicle available to pick from a second pick-up location, both locations other than the current location of the user, determine a first value and a second value indicative of a time duration for the fixed-line and one demand ridesharing vehicles to arrive at the first and second pick-up locations, respectively, and when the first value is less than the second value, inform the user that the fixed-line ridesharing vehicle is enroute and direct the user to the first pick-up location.

A driving support apparatus that includes a communication device configured to communicate with a vehicle-mounted device installed in a vehicle that is under automatic driving control and a mobile terminal of a user of the vehicle, and a processor configured to send, upon receiving a return request for moving the vehicle to an exit location at which the user has exited the vehicle, from the mobile terminal through the communication device, a return command for moving the vehicle to the exit location to the vehicle-mounted device through the communication device, when a return time required to move the vehicle to the exit location is less than an available return time, the available return time being calculated based on an expected arrival time at which the vehicle is expected to arrive at a destination of a passenger different from the user.

Calculating an optimal route based on specified intermediate stops is described herein. A mapping application is configured to compute a route from a start point to an end point in dependence upon criteria specifying one or more intermediate stops. The initial route determination incorporates consideration of the one or more specified intermediate stops as part of calculating the route. In one example, a request is received to search for an intermediate stop that satisfies search criteria indicating at least a type of location. In response to the search, search results are obtained with multiple options for routes between the start point and end point including intermediate stops that satisfy the search criteria. An optimal route is selected from the multiple options based upon defined optimization criteria. Optimization criteria may include but is not limited to distance, travel time, traffic data, weather conditions, date and time, and so forth.

A computing device for a vehicle includes a processor and a memory. The processor is programmed to determine that a vehicle destination includes a boat launch and that the vehicle is towing a trailer including a boat. The computing device guides the vehicle at the boat launch to position the trailer to launch the boat.

A driver assistance device mounted on a vehicle includes a communication unit; an output unit; an input unit configured to detect user input; and a control unit configured to perform driver assistance with use of a point on a map as a destination. The control unit is configured to i) execute a connection process to connect the driver assistance device to a terminal device wirelessly via the communication unit, ii) output identification information on the terminal device as an image or a voice via the output unit after the driver assistance device is wirelessly connected to the terminal device, and iii) execute a setting process to set the point determined by the terminal device as the destination for the driver assistance in a case where the control unit detects specified user input via the input unit after outputting the identification information on the terminal device.

A control part of a traffic control apparatus receives from a car-mounted device of one vehicle among a plurality of vehicles through a communicating part a projected time of arrival of that one vehicle at a destination and, if so, judges if there is a simultaneously arriving vehicle with the same desired drop-off position at the destination as the one vehicle and with the projected time of arrival at the destination in the same time frame from among the plurality of vehicles and, if there is a simultaneously arriving vehicle, determines vehicle stopping priorities at the desired drop-off position between the one vehicle and the simultaneously arriving vehicle based on information relating to the passengers in the one vehicle and the simultaneously arriving vehicle to be dropped off at the destination.

A method for interlinking heterogeneous fleet systems implemented by a computing device includes: receiving a use request for a moving object from a user device belonging to a first fleet system; transmitting a use inquiry message to a second fleet system when the use request includes a use of a moving object the second fleet system; transmitting a second available moving object list corresponding to the use inquiry message to the first fleet system when the second fleet system permits the moving object to be used; and transmitting to the user device with a final moving object list including a moving object that belongs to at least one of the second available moving object list or a first available moving object list in the first fleet system according to the use request.