The present disclosure provides a vehicle collision avoidance control device including: at least one first sensor configured to sense a first direction of a driver vehicle and to sense a first target vehicle in the first direction of the driver vehicle; at least one second sensor configured to sense a second direction that is opposite to the first direction of the driver vehicle and to sense a second target vehicle in the second direction of the driver vehicle; and a controller configured to output a vehicle control signal at least partially on the basis of processing of the first sensor and the second sensor, wherein the controller is configured to generate a primary vehicle control signal for avoiding a primary collision when a primary collision with the first target vehicle is predicted according to a first direction sensing result by the at least one first sensor, to modify the primary vehicle control signal into a secondary vehicle control signal on the basis of a result of sensing the second target vehicle by the at least one second sensor, and to output the secondary vehicle control signal.

An autonomous vehicle which includes multiple independent control systems that provide redundancy as to specific and critical safety situations which may be encountered when the autonomous vehicle is in operation.

A collision avoidance support device comprises target detection unit, target type determination unit, relative position determination unit, target track prediction unit, and vehicle track prediction unit, obstacle determination unit. The vehicle track prediction unit is configured to enlarge the width of a vehicle predicted track compared with a case where an enlargement condition is not satisfied when the enlargement condition is satisfied. The enlargement condition is satisfied when the relative position determination unit detects that a target determined to be a pedestrian by the target type determination unit is positioned on a travel lane at least once.

A vehicular collision avoidance system includes a sensor disposed at a vehicle for sensing exterior and forwardly of the vehicle. A processor processes sensor data captured by the sensor to determine the presence of a pedestrian ahead of the vehicle and outside a path of travel of the vehicle. The processor determines a projected path of travel of the pedestrian based on movement of the pedestrian. The processor determines where the forward path of travel of the vehicle intersects the projected path of travel of the pedestrian. The system, responsive at least in part to prediction that the pedestrian will be in the forward path of travel of the vehicle when the vehicle time to intersection elapses, adjusts the speed of the vehicle based at least in part on attentiveness of a driver of the vehicle and a driving condition of the vehicle.

An object-detection system for an automated vehicle includes an object-detector, a receiver, and a controller. The object-detector detects detectable-objects proximate to a host-vehicle. The receiver receives an indication of an object-presence from other-transmitters proximate to the host-vehicle. The controller is in communication with the object-detector and the receiver. The controller is configured to operate the host-vehicle to avoid interference with a hidden-object when the hidden-object is not detected by the object-detector and the object-presence is indicated by at least two instances of the other-transmitters.

A movable object for detecting an obstacle includes a first passive infrared sensor having a first detection range and a first field of view, and one or more second passive infrared sensors each having a second detection range and a second field of view. The second detection range is longer than the first detection range and the second field of view is smaller than the first field of view. The movable object further includes one or more processors configured to calculate a distance from the movable object to the obstacle based on data from at least one of the first passive infrared sensor or the one or more second passive infrared sensors, and determine whether to effect a collision avoidance maneuver for the movable object to avoid the obstacle based on the distance.

Systems, methods, and other embodiments described herein relate to emergency lateral maneuvers using brake-induced tire sliding. In one embodiment, a method includes determining a vehicle state for a vehicle according to sensor data about a surrounding environment. The method includes computing, using the sensor data and the vehicle state, lateral accelerations that are yaw-free for the vehicle. The method includes, in response to detecting that the vehicle state is associated with an emergency event, selecting a maneuver from the lateral accelerations. The method includes controlling the vehicle according to the maneuver.

A collision avoidance support device comprises target detection unit, target type determination unit, relative position determination unit, target track prediction unit, and vehicle track prediction unit, obstacle determination unit. The vehicle track prediction unit is configured to enlarge said width of a vehicle predicted track compared with a case where an enlargement condition is not satisfied when the enlargement condition is satisfied. The enlargement condition is satisfied when the relative position determination unit detects that a target determined to be a pedestrian by the target type determination unit is positioned on a travel lane at least once.

The present invention provides a controller and a control method that improve safety of a lean vehicle.

The controller (60) has a control section (62) and a setting section (63). The control section (62) performs a brake control to increase a braking force of the lean vehicle (100) based on a collision possibility that is determined in response to an output result from an environment sensor (44). The setting section (63) sets a distribution of braking force between the braking force applied to a front wheel (3) and the braking force applied to a rear wheel (4) in the brake control. In the brake control, the control section (62) controls the braking force applied to the front wheel (3) and the braking force applied to the rear wheel (4) based on the distribution of braking force set by the setting section (63).

A vehicle environment detection system (40) in an ego vehicle (1), including a sensor arrangement (4) and a main control unit (8) is arranged to detect and track at least one oncoming vehicle (9), and to determine whether the ego vehicle (1) has entered a curve (17). When this is the case. The main control unit (8) is arranged to, determine an ego direction (21) along which the ego vehicle (1) travels with a corresponding ego direction angle (γ.sub.ego) with respect to a predetermined axis (x.sub.glob), determine a measured oncoming direction (18) of the tracked oncoming vehicle (9) with a corresponding oncoming angle (θ.sub.track, glob) with respect to the predetermined axis (x.sub.glob) during a plurality of radar cycles, determine a difference angle (δ) between the measured oncoming direction (18) and the ego direction (21), and compare the difference angle (δ) with a threshold angle (θ.sub.max), and to determine that the oncoming vehicle (9) is crossing if the difference angle (δ) exceeds the threshold angle (θ.sub.max).