Calibration for autonomous vehicle operation

Aspects of the disclosure relate to detecting and responding to objects in a vehicle's environment. For example, an object may be identified in a vehicle's environment, the object having a heading and location. A set of possible actions for the object may be generated using map information describing the vehicle's environment and the heading and location of the object. A set of possible future trajectories of the object may be generated based on the set of possible actions. A likelihood value of each trajectory of the set of possible future trajectories may be determined based on contextual information including a status of the detected object. A final future trajectory is determined based on the determined likelihood value for each trajectory of the set of possible future trajectories. The vehicle is then maneuvered in order to avoid the final future trajectory and the object.

Predicting trajectories of objects based on contextual information

A communication system for vehicles includes a plurality of communication devices integrated into a road. The communication devices are operable to wirelessly communicate with communication systems of vehicles traveling on the road. The communication devices may be electrically powered by solar power. The communication devices wirelessly communicate with a remote server of the communication system. The remote server receives information via the communication devices pertaining to the vehicles traveling on the road and, responsive at least in part to the received information, the remote server communicates information to the vehicles traveling on the road via the communication devices.

Smart road system for vehicles

A valet parking system for automatically bringing a vehicle to a parking space within a predefined parking area. The valet parking system includes a central control unit and a parking-space monitoring system having a stationary parking-space sensor. The parking-space monitoring system is designed to detect the current state of occupancy of the parking spaces of the parking area and to transmit that to the central control unit. The parking-space monitoring system may localize all autonomously moving or waiting vehicles that are currently in transit autonomously within the parking area either to be brought to their assigned parking space or received by their driver at a predefined pick-up location, and to transmit information about the present position of all these vehicles to the central control unit. A free parking space is assigned to the vehicle by the central control unit as a function of the geometrical dimensions of the vehicle.

Valet parking method and system

A vision and alert system of a vehicle includes a plurality of cameras configured to be disposed at a vehicle equipped with the vision and alert system so as to have respective fields of view exterior of the vehicle. The plurality of cameras, when disposed at the vehicle, includes a forward camera having a field of view forward of the vehicle. An image processor is operable to process image data captured by at least the forward camera. Responsive to image processing of captured image data when the cameras are disposed at the vehicle, the image processor is operable to determine a traffic condition on the road being traveled by the equipped vehicle. Responsive to the determined traffic condition being indicative of a threshold level of a traffic jam, the vision and alert system transmits a traffic alert communication to a remote system.

Vehicle vision system with traffic monitoring and alert

A number of roadway sensing systems are described herein. An example of such is an apparatus to detect and/or track objects at a roadway with a plurality of sensors. The plurality of sensors can include a first sensor that is a radar sensor having a first field of view that is positionable at the roadway and a second sensor that is a machine vision sensor having a second field of view that is positionable at the roadway, where the first and second fields of view at least partially overlap in a common field of view over a portion of the roadway. The example system includes a controller configured to combine sensor data streams for at least a portion of the common field of view from the first and second sensors to detect and/or track the objects.

Roadway sensing systems

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Roadway sensing systems