Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring a dedicated roadway the runs in parallel to a railroad. In some implementations, a system includes a central server, an interface, and sensors. The interface receives data from a railroad system that manages the railroad parallel to the dedicated roadway. The sensors are positioned in a fixed location relative to the dedicated roadway. Each sensor can detect vehicles in a first field of view on the dedicated roadway. For each detected vehicle, each sensor can generate sensor data based on the detected vehicle in the dedicated roadway and the data received at the interface. Each sensor can generate observational data and instruct the detected vehicle to switch to an enhanced processing mode. Each sensor can determine an action for the detected vehicle to take based on the generated observational data.

This invention involves the effect of multiple rules of the road at different elevation profiles on the speed constraints and therefore the overall fuel efficiency. A vehicle designed to optimize fuel consumption that is comprised of the rules of the road that determine maximum speed, minimum speed, stop signs, streetlights, and/or changes in other rules that determine the allowable speeds of the road, a localization mechanism, and an optimization engine to optimize the fuel economy by selecting a speed profile within that maintains the vehicle within the assigned range of speeds and minimizes fuel consumption. A wide variety of methods that typically are used to optimize the fuel efficiency of human drivers operating standard vehicles can also be applied towards autonomous vehicles driving at different speed constraints and with different changes in the elevation.

Systems and methods to systematically identify and collect operational vehicle data for selective transmission to a non-local storage location for further analysis and use in training autonomous and semi-autonomous vehicles are provided. The systems and methods provided overcome limitations in storage and transmission of collected data by selectively archiving only that collected driving data warranting further analysis.

A method and system for controlling a stop rotation position of an engine is described. In one example, the system includes an integrated starter/generator that may be selectively coupled to the engine. The integrated starter/generator may rotate the engine in a first direction (e.g., reverse direction) or a second direction (e.g., a forward direction) in response to a position at which the engine stops rotating following cessation of combustion in the engine.

A method and system for controlling a stop rotation position of an engine is described. In one example, the system includes an integrated starter/generator that may be selectively coupled to the engine. The integrated starter/generator may rotate the engine in a first direction (e.g., reverse direction) or a second direction (e.g., a forward direction) in response to a position at which the engine stops rotating following cessation of combustion in the engine.

A vehicular vision system includes a plurality of cameras disposed at a vehicle and having respective exterior fields of view. Each camera includes an image sensor and a microcontroller having memory, and each camera is in communication with a vehicle controller. Image data captured by the image sensor of each camera is communicated to the vehicle controller. The vehicle controller communicates control data to each camera, and the communicated control data is stored in memory of each camera. With the communicated control data stored in the memory of each camera, the vehicle controller communicates a trigger signal to each camera during operation of the vehicle and vision system. Responsive to the communicated trigger signal, the microcontroller of each camera loads parameters of the control data stored in the respective memory into the respective image sensor so that the parameters of the image sensors of all of the cameras are synchronized.

A vehicular vision system includes a plurality of cameras disposed at a vehicle and having respective exterior fields of view. Each camera includes an image sensor and a microcontroller having memory, and each camera is in communication with a vehicle controller. Image data captured by the image sensor of each camera is communicated to the vehicle controller. The vehicle controller communicates control data to each camera, and the communicated control data is stored in memory of each camera. With the communicated control data stored in the memory of each camera, the vehicle controller communicates a trigger signal to each camera during operation of the vehicle and vision system. Responsive to the communicated trigger signal, the microcontroller of each camera loads parameters of the control data stored in the respective memory into the respective image sensor so that the parameters of the image sensors of all of the cameras are synchronized.

An illustrative example system includes at least one alertness detector that is configured to detect an alertness condition of a driver of a vehicle and an alertness condition of a passenger in the vehicle. A controller is configured to determine a sleep risk factor based on the alertness condition of the passenger. The controller is also configured to determine a likelihood that the driver is sleepy based on the alertness condition of the driver and the sleep risk factor. The controller is configured to control a feature of the vehicle to assist the driver when the determined likelihood satisfies a predetermined criterion.

An illustrative example system includes at least one alertness detector that is configured to detect an alertness condition of a driver of a vehicle and an alertness condition of a passenger in the vehicle. A controller is configured to determine a sleep risk factor based on the alertness condition of the passenger. The controller is also configured to determine a likelihood that the driver is sleepy based on the alertness condition of the driver and the sleep risk factor. The controller is configured to control a feature of the vehicle to assist the driver when the determined likelihood satisfies a predetermined criterion.