A travel route generation device (4) includes a travel route acquisition unit (4) configured to acquire position information (Pc) about a travel route (H) for a moving object (M) to perform autonomous travel or remotely controlled travel, a surrounding environment information acquisition unit (22) configured to acquire surrounding environment information, a dangerous location detection unit (23) configured to detect dangerous locations (Pd1 to Pd3) where there is a risk of an accident from the surrounding environment information, and an information processing unit (24) configured to add dangerous location information including first information indicating the dangerous locations (Pd1 to Pd3) to the position information (Pc) corresponding to the dangerous locations (Pd1 to Pd3).

A method for trajectory planning, an apparatus, a storage medium, and an electronic device are provided. A constraint set of a space including a target device is determined according to a velocity of an unmanned device and velocities of designated obstacles, so that during optimization of a preliminary reference trajectory, a solution can be obtained with the space in the constraint set as a solution space under the constraint of the constraint set, so as to ensure that the solution space is a convex space, and relatively satisfactory reference trajectory points can be solved.

A system comprises a computer having a processor and a memory, the memory storing instructions executable by the processor to access sensor data of a first sensor of a vehicle while an adaptive cruise control feature of the vehicle is active, detect, based on the sensor data of the first sensor, a stationary object located along a path of travel of the vehicle, wherein the stationary object is located outside of a range of a second sensor of the vehicle, determine a presence of an intersection within a threshold distance of the stationary object that is along the path of travel of the vehicle, and responsive to a determination that the stationary object is a stopped vehicle of the intersection, adjust, by the adaptive cruise control feature, the speed of the vehicle.

A remote operator that remotely assists in traveling the autonomous traveling vehicle refer to a remote monitoring terminal. A remote monitoring device acquires data of a plurality of sensors mounted on the autonomous traveling vehicle, executes an image generation processing for generating an around-view of the vehicle by processing the data, calculates the lane width of the lane traveled by the vehicle based on the map information, calculates the vehicle width ratio of the vehicle with respect to the lane width, and when the vehicle width ratio is greater than a predetermined determination threshold, provides the generated around-view by the image generation processing to the remote monitoring terminal.

An object sensing device is configured to sense an object therearound using an ultrasonic sensor. The object sensing device comprises: a distance judgment portion that performs a judgement of a distance to the object therearound in accordance with received ultrasonic waves that are based on transmitted ultrasonic waves by the ultrasonic sensor; and a notification control portion that performs a predetermined notification operation in accordance with the received ultrasonic waves that are based on the transmitted ultrasonic waves. The notification control portion performs the predetermined notification operation when the distance judgement portion has continuously judged that the object is within a predetermined close range. The notification control portion fails to perform the predetermined notification operation when a judgement history of the distance to the object by the distance judgement portion indicates an abnormal appearance of the object within the predetermined close range.

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.

A navigation system for a host vehicle may include a processor programmed to: receive, from an entity remotely located relative to the host vehicle, a sparse map associated with at least one road segment to be traversed by the host vehicle; receive point cloud information from a LIDAR system onboard the host vehicle, the point cloud information being representative of distances to various objects in an environment of the host vehicle; compare the received point cloud information with at least one of the plurality of mapped navigational landmarks in the sparse map to provide a LIDAR-based localization of the host vehicle relative to at least one target trajectory; determine an navigational action for the host vehicle based on the LIDAR-based localization of the host vehicle relative to the at least one target trajectory; and cause the at least one navigational action to be taken by the host vehicle.

A vehicular driving assist system includes an in-cabin camera disposed at an interior rearview mirror assembly in an interior cabin of a vehicle and viewing at least a steering wheel of the vehicle and capturing image data. An electronic control unit (ECU) includes an image processor for processing image data captured by the in-cabin camera to detect presence of one or both hands of a driver of the vehicle at the steering wheel. The vehicular driving assist system, responsive to determining, via processing at the ECU of image data captured by the in-cabin camera, that at least one hand of the driver is not on the steering wheel when the vehicle is at or approaching a hazardous condition, generates an alert to the driver of the vehicle.

A vehicle collision avoidance assist apparatus keeps stopping a collision avoidance control to avoid a collision of an own vehicle with an object ahead of the own vehicle when the own vehicle turns, a predetermined condition is satisfied, and a collision condition is satisfied. While the own vehicle turns, the apparatus acquires an own vehicle turning angle which is an angle which the own vehicle has turned about a turning center from when the own vehicle starts turning and change the predetermined condition, depending on the own vehicle turning angle.

A method for controlling operation of a motor vehicle includes an electronic controller receiving, e.g., from a vehicle-mounted sensor array, sensor data with dynamics information for a target vehicle and, using the received sensor data, predicting a lane assignment for the target vehicle on a road segment proximate the host vehicle. The electronic controller also receives map data with roadway information for the road segment; the controller fuses the sensor and map data to construct a polynomial overlay for a host lane of the road segment across which travels the host vehicle. A piecewise linearized road map of the host lane is constructed and combined with the predicted lane assignment and polynomial overlay to calculate a lane assignment for the target vehicle. The controller then transmits one or more command signals to a resident vehicle system to execute one or more control operations using the target vehicle's calculated lane assignment.