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.

A vehicle, in particular a single-track vehicle, has a small track width in relation to the vehicle height, and three or four wheels. In order to provide a vehicle which allows for a high traffic flow speed at a high traffic density, the vehicle has automatically controlled tilt kinematics, in which the vehicle body and the wheels tilt about a longitudinal axis of the vehicle.

The present disclosure is directed to systems and methods avoiding collisions by monitoring the presence and alertness of a person in a vehicle. The alertness of that person may be monitored by identifying actions performed by that person when an automated driving assistant is used in a vehicle. Systems and method consistent with the present disclosure may monitor the alertness of a person that is located in a driving position of a vehicle according to criteria associated with particular individuals or with criteria associated with specific protocols. When a system or method consistent with the present disclosure identifies that a person is not alert, a corrective action may be initiated that reduces likelihood of a collision.

A vehicle has an accelerator pedal in communication with a prime mover, a transmission, and a controller. The controller is configured to, in response to receiving a first input indicative of a vehicle state and a second input indicative of a curve along a vehicle path within a predetermined time interval, downshift the transmission and modify a driver torque request map associated with the accelerator pedal to reduce a percentage of pedal travel associated with positive drive torque. A method of controlling a vehicle includes downshifting a transmission and modifying a driver torque request map associated with an accelerator pedal to reduce a percentage of pedal travel associated with positive drive torque when a vehicle state and a curve from an electronic horizon system predict a vehicle lateral acceleration in the curve being above a first threshold value.

A vehicle has an accelerator pedal in communication with a prime mover, a transmission, and a controller. The controller is configured to, in response to receiving a first input indicative of a vehicle state and a second input indicative of a curve along a vehicle path within a predetermined time interval, downshift the transmission and modify a driver torque request map associated with the accelerator pedal to reduce a percentage of pedal travel associated with positive drive torque. A method of controlling a vehicle includes downshifting a transmission and modifying a driver torque request map associated with an accelerator pedal to reduce a percentage of pedal travel associated with positive drive torque when a vehicle state and a curve from an electronic horizon system predict a vehicle lateral acceleration in the curve being above a first threshold value.

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.

A method for controlling cruise driving of a vehicle performed by a controller is provided. The method includes determining whether a turning section is present on a road in front of the vehicle based on information of the road included in navigation information. When the turning section is present on the road, the turning section is divided into an entry area and an escape area. The entry area is an area where speed of the vehicle is adjusted from cruise driving speed to target deceleration speed and the escape area is an area where speed of the vehicle is controlled from the target deceleration speed to the cruise driving speed. When the vehicle is located in the entry area a starter-generator connected to an engine is operated to perform regenerative braking to reduce the speed of the vehicle from the cruise driving speed to the target deceleration speed.

A machine-learned model is trained using human driving data to determine a desired vehicle speed based from a set of driving-environment characteristics. An autonomous-vehicle control system obtains, from cameras, sensors, services, and data sources, a variety of sensor data. The sensor data is used to determine a set of characteristics for the driving-environment for the autonomous vehicle. Using the machine-learned model, the autonomous-vehicle control system determines a human-like desired speed for the autonomous vehicle based at least in part on the determined characteristics of the driving-environment.

The present disclosure is directed to systems and methods avoiding collisions by monitoring the presence and alertness of a person in a vehicle. The alertness of that person may be monitored by identifying actions performed by that person when an automated driving assistant is used in a vehicle. Systems and method consistent with the present disclosure may monitor the alertness of a person that is located in a driving position of a vehicle according to criteria associated with particular individuals or with criteria associated with specific protocols. When a system or method consistent with the present disclosure identifies that a person is not alert, a corrective action may be initiated that reduces likelihood of a collision.

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.