A vehicle control device is mountable on a vehicle. The vehicle control device includes: a processor; and a memory storing instructions that, when executed by the processor, cause the vehicle control device to perform operations. The operations includes: acquiring detection information obtained by detecting an obstacle around the vehicle; performing collision determination of evaluating a possibility of collision with the obstacle, generating, based on the detection information, information on an approaching object that is an obstacle approaching the vehicle and information on a detection point group that is a set of detection points indicating an obstacle that does not move; and excluding the approaching object from collision determination in a case in which the detection point group has a shielding effect of shielding the vehicle from the approaching object. The shielding effect is evaluated by using a gap threshold that is set based on a vehicle width.

An adaptive trust calibration based autonomous vehicle may include vehicle systems, a system behavior controller, and a driving automation controller. The system behavior controller may generate a driving automation signal indicative of a desired autonomous driving adaptation. The driving automation controller may control the vehicle systems based on parameters including a desired velocity, current velocity of the autonomous vehicle, desired minimum gap distance between the autonomous vehicle and a detected object, current gap distance gap between the autonomous vehicle and a detected object, relative velocity of the detected object with respect to the autonomous vehicle, desired time headway, desired maximum acceleration, desired braking deceleration, and an exponent. The driving automation controller may receive the driving automation signal and implement the desired autonomous driving adaptation via the vehicle systems by adjusting the parameters based on a type of object associated with the detected object.

A road information processing system including: a lane departure prevention information acquisition unit for acquiring lane departure prevention information indicating a time point at which a lane departure prevention process by a lane departure prevention function was executed, and a point where the lane departure prevention process was executed, on a vehicle having the lane departure prevention function; a vehicle behavioral information acquisition unit for acquiring vehicle behavioral information indicating a behavior of the vehicle; and an obstacle recognition unit for recognizing, based on the lane departure prevention information and the vehicle behavioral information, an obstacle present at the point where the lane departure prevention process was executed.

An erroneous start suppression device equipped with an electronic control unit that controls a drive device that generates a driving force of a vehicle, and the electronic control unit determines whether or not an accelerator operation of a driver is an erroneous operation based on whether or not a predetermined determination condition is satisfied; limits a driving force generated by the drive device when the electronic control unit determines that the accelerator operation of the driver is an erroneous operation; determines whether or not the vehicle is towing a towed vehicle; and changes the predetermined determination condition so that it becomes difficult to determine that the predetermined determination condition is satisfied when it is determined that the vehicle is towing a towed vehicle.

A vehicle (4) comprising a vehicle accessory arrangement (2), the vehicle accessory arrangement, including a working equipment (6), is mounted on the vehicle (4), The vehicle accessory arrangement (2) is configured to receive current position data, e.g. GPS data, and working assignment data including route data for a working assignment for said vehicle (4) provided with said working equipment (6). The accessory control unit (8) is provided with a vehicle data set comprising control characteristics of the vehicle (4) on which the accessory arrangement (2) is mounted, and is configured to determine: navigation and drive control commands adapted to control said vehicle (4) provided with said vehicle accessory arrangement (2) to work in an autonomous mode and to travel along a route of a working assignment, working control commands adapted to control said vehicle (4) such that working procedures performed by said working equipment (6) are supported. The navigation and drive control commands and said working control commands are determined based upon said control characteristics. The vehicle control unit (17) is configured to determine a mode of operation of said vehicle (4) among a set of mode of operations including an autonomous mode of operation, and if it is determined that said vehicle (4) is in an autonomous mode of operation said vehicle control unit (17) is configured to enable said accessory control unit (8) to control said vehicle (4), by said navigation and drive commands and said working control commands, to fulfil said working assignment.

Systems and methods of processing crowdsourced navigation information for use in autonomous vehicle navigation are disclosed. A method may include processing, by a mapping server, crowdsourced navigation information from a plurality of vehicles obtained by sensors coupled to the plurality of vehicles, wherein the navigation information describes road lanes of a road segment; collecting data about landmarks identified proximate to the road segment, the landmarking including a traffic sign; generating, by the mapping server, an autonomous vehicle map for the road segment, wherein the autonomous vehicle map includes a spline corresponding to a lane in the road segment and the landmarks identified proximate to the road segment; and distributing, by the mapping server, the autonomous vehicle map to an autonomous vehicle for use in autonomous navigation over the road segment.

An agricultural vehicle monitoring system includes one or more noncontact sensors configured to sense multiple objects along a scanline. A comparative vehicle monitor is in communication with the one or more noncontact sensors. The comparative vehicle monitor is configured to provide a specified row width and to identify one or more crop rows from the scan line and determine one or more lengths of scan line segments between identified crop rows. The comparative vehicle monitor is further configured to determine a vehicle position including one or more of a vehicle angle or a vehicle location according to the specified row width and the one or more determined lengths of scan line segments between the identified crop rows.

The vehicle control device sets a region including a stationary object on a road, calculates a passing position at which a host vehicle and an oncoming vehicle pass each other in accordance with a velocity of the host vehicle and a position and a velocity of the oncoming vehicle, calculates a first score that is a larger value as the velocity of the oncoming vehicle is greater, calculates a second score that is a larger value as an acceleration rate of the oncoming vehicle is greater, integrates the first score with the second score so as to calculate an integration score, and causes the host vehicle to decelerate when the integration score is greater than or equal to a predetermined value or causing the host vehicle to keep the velocity or accelerate when the integration score is smaller than the predetermined value.

The disclosure provides an environment perception device and method of a mobile vehicle. The environment perception device includes a camera module, a LiDAR module, a database and a processing circuit. The camera module photographs a field near the mobile vehicle to generate a three-dimensional (3D) image frame. The LiDAR module scans the field to generate a 3D scanned frame. The processing circuit fuses the 3D image frame and the 3D scanned frame to generate 3D object information. The processing circuit compares the 3D object information with a 3D map in the database to determine whether an object is a static object. The processing circuit performs an analysis and calculation on the 3D object information to obtain movement characteristics of the object when the object is not the static object, and skips the analysis and calculation on the 3D object information when the object is the static object.

An apparatus for controlling a vehicle capable of performing autonomous driving is provided. The apparatus includes an autonomous driving device that executes the autonomous driving and generates a transition demand when it is impossible to execute the autonomous driving. A driving controller performs a minimum risk maneuver (MRM) of applying a deceleration pattern differently depending on a driving environment of the vehicle, when the transition demand is generated, but when driving manipulation by a driver does not occur. A subsequent safety ensuring function is performed according to the MRM for the driver to recognize the MRM, and a drive mode of the vehicle is changed to a drive mode with a rapid response speed to acceleration or steering.