A braking control system and method for an autonomous vehicle, may transmit information on surrounding vehicles monitored by autonomous traveling-related sensors of each vehicle while the autonomous vehicles are traveling to the cloud, and transmit a braking induction signal to a specific vehicle when the cloud determines that a distance with a leading vehicle of the specific vehicle has reached a reference distance or less at which braking is required so that the specific vehicle may be braked, checking occurrence of an error or a failure of autonomous traveling-related sensors of a specific vehicle, and easily preventing the safety accidents such as collision with the leading vehicle.

A vehicular control system includes a camera and a control having a processor that processes image data captured by the camera to determine an approaching vehicle that is approaching an intersection forward of the equipped vehicle. The system determines projected path of the equipped vehicle. Estimated time to arrival of the approaching vehicle at the intersection is determined at least in part by processing of captured image data. Responsive to determination that the equipped vehicle will complete a turn at the intersection before the estimated time to arrival elapses, the system may determine that it is safe to proceed along the projected path of travel. Responsive at least in part to determination that the equipped vehicle will not complete the turn at the intersection before the estimated time to arrival elapses, the system may determine that it is not safe to proceed along the projected path of travel.

A vehicular control system includes a camera and a control having a processor that processes image data captured by the camera to determine an approaching vehicle that is approaching an intersection forward of the equipped vehicle. The system determines projected path of the equipped vehicle. Estimated time to arrival of the approaching vehicle at the intersection is determined at least in part by processing of captured image data. Responsive to determination that the equipped vehicle will complete a turn at the intersection before the estimated time to arrival elapses, the system may determine that it is safe to proceed along the projected path of travel. Responsive at least in part to determination that the equipped vehicle will not complete the turn at the intersection before the estimated time to arrival elapses, the system may determine that it is not safe to proceed along the projected path of travel.

The zip line rail system can be connected to a challenge course, a zip line, a zip track system, or any combination thereof. The zip line rail system of the present invention can have two rails that a member slide's two wheels rollably engage with, and the zip line rail system can be configured in any of a variety of directions.

The zip line rail system can be connected to a challenge course, a zip line, a zip track system, or any combination thereof. The zip line rail system of the present invention can have two rails that a member slide's two wheels rollably engage with, and the zip line rail system can be configured in any of a variety of directions.

An autonomous system may selectively displace human driver control of a host vehicle. The system may receive an image representative of an environment of the host vehicle and detect an obstacle in the environment of the host vehicle based on analysis of the image. The system may monitor a driver input to a throttle, brake, and/or steering control associated with the host vehicle. The system may determine whether the driver input would result in the host vehicle navigating within a proximity buffer relative to the obstacle. If the driver input would not result in the host vehicle navigating within the proximity buffer, the system may allow the driver input to cause a corresponding change in one or more host vehicle motion control systems. If the driver input would result in the host vehicle navigating within the proximity buffer, the system may prevent the driver input from causing the corresponding change.

Systems and methods are disclosed for predicting a hot spot. One method comprises receiving, by a hot spot prediction system, vehicle characteristics associated with a vehicle and traffic data. Then the hot spot prediction system determines a hot spot and an estimated arrival time at the hot spot based on the vehicle characteristics and the traffic data. Following the determination, an auto brake application system receives the hot spot and the estimated arrival time and determines a safe stop time based on the vehicle characteristics, the hot spot and the estimated arrival time. The auto brake application system then sends a notification to the vehicle based on determining that the vehicle can stop within the safe stop time, and performs an action in response to receiving a confirmation from the vehicle.

There is provided an automatic train operation system which can stop a train precisely at a stop target position without worsening ride quality even with the control system being a discrete system. The automatic train operation system comprises a relative distance measuring device to acquire information about a relative distance of the train relative to a stop position of a station to output average distance information that is the average of relative distances and a brake control device. The brake control device includes a sensor information holding unit to hold speed information and position information detected by sensors to output; a correction amount computing unit to compute a specifying value correction amount to output; and an instruction planning unit to compute a deceleration specifying value based on the specifying value correction amount and sensor information.

A device and method for safety stoppage of an autonomous road vehicle having a localization system and sensors for monitoring the vehicle surroundings and motion, and a signal processing system for processing sensor signals enabling an autonomous drive mode. A processor continuously predicts where a drivable space exists, calculates and stores a safe trajectory to a stop within the drivable space, determines a current traffic situation, and determines any disturbances in sensor data, vehicle systems or components enabling the autonomous drive mode. If an incapacitating disturbance is determined, a request for a driver to take control is signaled and it is determined if the driver has assumed control. If not, the vehicle is controlled to follow the most recent safe trajectory to a stop in a safe stoppage maneuver during which, or after, one or more risk mitigation actions adapted to the determined current traffic situation are performed.

A system and method are provided and include a subject vehicle having a sensor that senses information about an environment of the subject vehicle. An actuator rotates the sensor according to a commanded angle. A controller determines a position and a trajectory path of the subject vehicle, determines an adaptive point along the determined trajectory path based on the position, and generates the commanded angle for the actuator to rotate the sensor towards the adaptive point.