A method for assisting in turning a vehicle, the method may include detecting or estimating that the vehicle is about to turn to a certain direction or is turning to the certain direction; sensing a relevant portion of an environment of the vehicle to provide sensed information, wherein the relevant portion of the environment is positioned at a side of the vehicle that corresponds with the certain direction; applying an artificial intelligence process on the sensed information to (i) detect objects within the relevant portion of the environment and (ii) estimate expected movement patterns of the objects within a time frame that ends with an expected completion of the turn of the vehicle; determining, given an expected trajectory of the vehicle during the turn and the expected movement patterns of the objects, whether at least one of the objects is expected to cross the trajectory of the vehicle during the turn; and responding to an outcome of the determining.

The present disclosure relates to control performed in a case where a vehicle is to turn right or left at an intersection. A control device causes the vehicle to carry out a right turn or left turn when a travel start button for starting travel from a stopped state is manipulated while the vehicle is in a stopped state due to presence of a target to be paid attention to during travel, such as a vehicle in an opposite lane or a pedestrian.

This disclosure describes systems and methods used in the development and validation of autonomous vehicles ability to track objects with sensors. This application describes a self-propelled autonomous platform and methods for carrying a pedestrian, cyclist or vehicular type target in a predetermined pattern during one or more testing runs. The self-propelled autonomous platform includes a sensor configured to retract within a platform housing of the self-propelled autonomous platform when being driven over during a test run.

A method for automated control of a vehicle includes automatically navigating a vehicle within a current lane of travel with a driving assistance system, and predetermining a steering maneuver during the automatic navigation with the driving assistance system. The method also includes, prior to performing the predetermined steering maneuver, biasing the vehicle within the current lane of travel with an offset from a center of the current lane of travel using the driving assistance system, the offset in a direction of the predetermined steering maneuver, and performing the predetermined steering maneuver with the driving assistance system.

A braking control device for controlling braking of a host vehicle. For a state in which a host vehicle is stopped in an intersection by automatic emergency braking and an oncoming vehicle is approaching in an oncoming lane, the host vehicle prohibits secondary braking, flashes a hazard lamp, and prohibits an idling stop. For a state in which it is determined in that the vehicle is stopped and it is determined in that it is safe for the vehicle to start moving, the host vehicle releases stop maintenance braking.

An intersection start judgment device judges whether to start an own vehicle at an intersection at which vehicles in all directions need to temporarily stop. The device includes an autonomous sensor, a driving environment recognizer, a locator, and a controller. The autonomous sensor is disposed on the own vehicle and configured to detect a driving environment in front of the own vehicle. The driving environment recognizer is configured to recognize, with the autonomous sensor, the driving environment of the own vehicle. The locator is configured to calculate a location of the own vehicle with map information and a global navigation satellite system; and a controller configured to give, in a case where the own vehicle stopped temporarily at the intersection, start permission to the own vehicle when the number, counted by the driving environment recognizer, of other vehicles that are already stopping at the intersection becomes zero by subtraction counting.

A control method for an autonomous driving vehicle is provided. The method includes: obtaining perception information of road conditions around a vehicle; determining a first control decision based on the perception information and autonomous driving decision logic; controlling the vehicle to perform autonomous driving according to the first control decision; determining, in response to detecting an assisted driving instruction, a second control decision that is different from the first control decision based on the perception information, the autonomous driving decision logic, and the assisted driving instruction; and controlling the vehicle to perform autonomous driving according to the second control decision.

A vehicle includes a sensor circuit configured to detect an obstacle in a first region which is located on the predetermined traveling route and in a second region which is adjacent to the first region on the predetermined traveling route, the second region being farther than the first region. The vehicle enters the first region in a case where: there is no obstacle in the first region; and there is no obstacle in the second region, and does not enter the first region and stops before the first region in a case where: there is no obstacle in the first region; and there is an obstacle in the second region.

A driving assistance device to properly recognize a relative positional relationship between mobile objects without the use of map information. The driving assistance device includes a relative position judgment section for judging a relative positional relationship of an object of interest and a first neighboring object relative to a second neighboring object, based on object-of-interest information and neighbor information, to make a judgment as a first judgment on a relative positional relationship between the object of interest and the first neighboring object, based on the aforementioned judgment result.

A vehicle control device includes an oncoming vehicle detection sensor configured to detect an oncoming vehicle that approaches an own vehicle, and a controller configured to automatically apply brakes to the own vehicle to avoid a collision with the oncoming vehicle detected by the oncoming vehicle detection sensor under a condition that the own vehicle is at least partially in an opposite lane or a planned path of the own vehicle is at least partially in the opposite lane. The controller is configured to set, between the own vehicle and the oncoming vehicle, a virtual area that moves with the oncoming vehicle and that extends in an advancing direction of the oncoming vehicle, and automatically brake the own vehicle to avoid coming into contact with the virtual area to avoid the collision between the own vehicle and the oncoming vehicle.