Systems and methods of traffic light detection/perception are provided for detecting traffic lights states and/or transitions for different traffic light layouts. Basic traffic light information can be obtained regarding, e.g., the existence of a traffic light(s) at an intersection being approached by a vehicle, and which bulb(s) may apply to/control a particular lane of traffic at the intersection. Based on that information, bulb-specific or bulbwise detection can be performed. Upon determining the existence of a traffic light, specific bulbs within or making up the traffic light can be detected, and their various states can be predicted or estimated relative to a corresponding bulb group. The various states can then be simplified and output as a message(s) upon which autonomous control of a vehicle can be based.

A ride-sharing system can automatically and autonomously determine whether a rider is an account holder associated with an account of a ride-sharing service that requested a ride or a guest rider. A guest rider detection system can use geolocation data to determine whether a rider is a guest rider or an account holder. The system can obtain location data for an account holder that requests a ride using a ride sharing application. The location data of the account holder can be compared with one or more locations (e.g., pickup or drop off location) associated with the requested ride. Based at least in part on the comparisons between the location data of the account holder and the one or more locations associated with the requested ride, the system can determine with a particular degree of certainty whether the rider is the guest rider or the account holder.

Methods and apparatus for assessing coordinate data are disclosed. An example apparatus includes a processor to receive coordinate data relating to a desired path and task of a vehicle. The processor of the example apparatus to determine if the coordinate data satisfies a threshold. The processor of the example apparatus to determine if the coordinate data is compatible with a positioning system of the vehicle. The processor of the example apparatus to authorize operation of the vehicle to traverse the desired path based on the coordinate data.

Systems and methods for determining a level of congestion and notifying a user of increased wait times are provided. The system includes an electronic control unit configured to determine a number of vehicles at or within a threshold distance of an establishment, determine that the establishment is a destination of a vehicle, and provide a notification in response to determining the number of vehicles at or within the threshold distance of the establishment exceeds a predetermined threshold and determining the establishment is the destination of the vehicle.

Systems and methods for determining a level of congestion and notifying a user of increased wait times are provided. The system includes an electronic control unit configured to determine a number of vehicles at or within a threshold distance of an establishment, determine that the establishment is a destination of a vehicle, and provide a notification in response to determining the number of vehicles at or within the threshold distance of the establishment exceeds a predetermined threshold and determining the establishment is the destination of the vehicle.

Methods and apparatus for assessing coordinate data are disclosed. An example apparatus includes a processor to receive coordinate data relating to a desired path and task of a vehicle. The processor of the example apparatus to determine if the coordinate data satisfies a threshold. The processor of the example apparatus to determine if the coordinate data is compatible with a positioning system of the vehicle. The processor of the example apparatus to authorize operation of the vehicle to traverse the desired path based on the coordinate data.

In a vehicle control system, when an occupant visually recognizes a signboard and signboard course information is included in signboard information corresponding to the signboard, the signboard information is displayed on a display device. When the signboard course information out of the signboard information is visually recognized continuously, a control device generates course information based on the signboard course information. The generated course information is output to a vehicle control ECU, and course change processing based on the course information is performed by the vehicle control ECU.

A driver assistance system for a vehicle is provided. The driver assistance system includes an input interface, a sensing unit, and a processing unit. The input interface is configured to receive at least one input signal from a driver. The sensing unit is configured to detect a traffic condition. The processing unit is configured to perform the following instructions. The input signal is obtained when the vehicle is traveling along a route. A driver's intention is estimated according to the input signal. An en-route goal is determined according to the driver's intention and the traffic condition. The route is updated according to the en-route goal.

The disclosed computer-implemented method may include receiving, by a transportation requestor device, progress information that indicates progress of a transportation provider toward a request location, presenting, via a graphical user interface of the transportation requestor device, the progress of the transportation provider toward the request location with a graphical representation of the transportation provider according to the progress information, receiving, by the transportation requestor device, contextual information from a server that explains the progress of the transportation provider as indicated by the progress information, and changing, via the graphical user interface of the transportation requestor device, the graphical representation of the transportation provider with a graphical representation of the contextual information. Various other methods, systems, and computer-readable media are disclosed.

Examples described herein provide a computer-implemented method that includes defining, by a processing device, a plurality of parameters so that any orthogonal intersection can be described. The method further includes building, by the processing device, an orthogonal parameterized model that can represent any orthogonal intersection based at least in part on the plurality of parameters that can describe any intersection of interest. The method further includes expanding, by the processing device, the orthogonal parameterized model to generate a fully parameterized intersection model that accounts for intersection complexities. The method further includes building, by the processing device, a low-fidelity analytical that computes various metrics based on the fully parameterized intersection model.