Systems and methods of collision detection are provided which combine the concept of collaborative support with common/existing in-vehicle imaging and proximity sensor technologies. In particular, an “intermediary” vehicle may signal one or more objects (e.g. other vehicles, pedestrians, etc.) which are within the line of sight of the intermediary vehicle (and thus its imaging and proximity sensors), but not within the line of sight of each other, to a potential collision between the two objects.

Among other things, one or more techniques and/or systems are provided for providing users with access to a route for travelling. A user, of a client device, may send a request for access to the route to a route planning service. The route may correspond to a starting location and an ending location. The route planning service may query a route database to identify an entry indicating that a restricted access road segment (e.g., a high occupancy vehicle lane, a shoulder lane, a bus lane, etc.) and/or a road segment (e.g., comprising a traffic light alteration capability) exists between the starting location and the ending location. Responsive to successfully authorizing the user for travelling the restricted access road segment and/or the road segment, the route, comprising the restricted access road segment and/or the road segment, may be provided to the client device.

A method for anticipating a lane change by another vehicle ahead of a vehicle equipped with a sensing system having a camera and a radar sensor includes processing captured image data to determine lane markers of a traffic lane along which the equipped vehicle is traveling, and to determine presence of another vehicle in an adjacent traffic lane. Responsive to processing of captured radar data, an oblique angle of a direction of travel of the other vehicle relative to the traffic lane is determined. Responsive to determination that the oblique angle of the direction of travel of the other vehicle is indicative of a cut-in intent of the other vehicle, and based on the determined range to the determined other vehicle, the system anticipates the cut-in of the other vehicle and applies a braking system of the equipped vehicle to mitigate collision with the determined other vehicle.

Methods, systems, apparatuses, and computer program products are provided for altering the behavior of an electronic personal assistant based on a situation associated with a mobile device. A situation is sensed with a plurality of sensors to generate sensor data. A situation score is calculated based on the sensor data. Behavior of an electronic personal assistant is altered based on the calculated situation score. In one aspect, the situation is a driving situation in which a driver drives a vehicle on a roadway. In such case, a driving situation score is calculated based on the sensor data, and behavior of the electronic personal assistant is altered based on the calculated driving situation score, such as suspending interactions by the electronic personal assistant with the driver to avoid the driver being distracted.

A vehicular trailer hitching assist system includes a camera disposed at a rear portion of a vehicle and viewing at least rearward of the vehicle. An electronic control unit (ECU) includes an image processor operable to process image data captured by the camera. The ECU, via image processing of image data captured by the camera, detects a trailer rearward of the vehicle and determines a first path of travel for the vehicle to follow to maneuver the vehicle toward the trailer and to align the tow ball of the vehicle with a trailer hitch of the trailer. The ECU generates an output to maneuver the vehicle along the determined first path of travel. Responsive to detection of an object entering the first path of travel, the ECU determines a second path of travel for the vehicle to follow that avoids the detected object entering the determined path of travel.

In a driving assistance apparatus, an object detecting unit detects an object that is present in a periphery of an own vehicle based on an image captured by an imaging apparatus provided in the own vehicle. An avoidance control unit performs collision avoidance control for avoiding a collision between the detected object and the own vehicle when a collision between the object and the own vehicle is likely. A light distribution control unit switches irradiated light of an irradiation apparatus provided in the own vehicle between high beam and low beam based on a predetermined switching condition. The light distribution control unit performs switching suppression control to suppress switching of the irradiated light from high beam to low beam while the avoidance control unit is performing collision avoidance control in a case where the irradiated light is set to high beam.

An apparatus for displaying a driving state of a vehicle, a system including the same and a method thereof is provided. The apparatus includes a processor that determines a change in a state of a lane change assistance function and controls a step-by-step notification based on the change in the state of the lane change assistance function, and a display controlled by the processor to display the step-by-step notification based on the change in the state of the lane change assistance function.

An autonomous driving vehicle includes a user detection monitoring device and a start control device. The user detection monitoring device detects a user who got out of the autonomous driving vehicle after the autonomous driving vehicle stopped at a destination as an alighted user and monitors the alighted user. The start control device maintains a stopped state of the autonomous driving vehicle after the alighted user was detected until a start condition is satisfied and, if the start condition is satisfied, permits a start of the autonomous driving vehicle. The start condition is one of a condition indicating that the alighted user at least moves out of a movement determination area around the autonomous driving vehicle and a condition indicating that the alighted user is present in the movement determination area but remains at the same position for a certain period of time or longer.

The present teaching relates to method, system, and medium, for operating a vehicle. Real-time data related to the vehicle are received. A current mode of operation of the vehicle and a state of the driver present in the vehicle are determined. A first risk associated with the current mode of operation of the vehicle is evaluated based on the real-time data and the state of the driver in accordance with a risk model. In response to the first risk satisfying a first criterion, a second risk associated with switching the current mode to a different mode of operation of the vehicle is determined based on the state of the driver. The vehicle is switched from the current mode to the different mode when the second risk satisfies a second criterion.

It is presented a method performed in a vehicle action determiner for determining an undesired action of a first vehicle and a resulting action. The method comprises: detecting that a first user is focusing on the first vehicle; acquiring brain activity data of the first user; determining a negative reaction of the first user based on the brain activity data; determining when the first vehicle is performing an undesired action based on the first user focusing on the first vehicle and the negative reaction of the first user; determining the resulting action taken by an autonomous vehicle, based on the first vehicle performing the undesired action; and triggering the autonomous vehicle to perform the resulting action.