A front hood assembly for a vehicle including a front grille may include a sensory assembly, a bumper assembly positioned adjacent to the front grille, and an energy absorber structure. The bumper assembly may include a bumper reinforcement having a front face and a top face, which front face is disposed below and extends away from the top face. The energy absorber structure may be positioned adjacent to the top face of the bumper reinforcement. The energy absorber structure may be rearwardly compliant in an impact direction and disposed below and rearwardly of the sensory assembly such that an impact of the sensory assembly with the energy absorber structure in the impact direction collapses the energy absorber structure rearwardly.

In embodiments, an automatic guided vehicle includes a vehicle, a lift unit, a bumper, an extension detector, and a bumper controller. The vehicle is movable in at least a first direction. The lift unit is provided in the vehicle and lifts an object from below the object. The bumper is provided in the vehicle and is extendable and contractible in the first direction. The extension detector detects that the bumper has extended outward from the object in the first direction. The bumper controller controls a state of the bumper according to a conveyance state of the object by the vehicle.

A system and method for performing an operation at a vehicle is disclosed. The system includes a first acoustic transceiver that transmits and receives inaudible acoustic signals and a second acoustic transceiver that transmits and receives inaudible acoustic signals. The second acoustic transceiver is stationary with respect to the vehicle. A processor receive an inaudible acoustic signal transmitted between the first acoustic transceiver and the second acoustic transceiver, determines a location of the first acoustic transceiver with respect to the vehicle from the received signal, and performs an operation at the vehicle based on the location of the first acoustic transceiver with respect to the vehicle.

Aspects of the disclosure relate to controlling a vehicle having an autonomous driving mode or an autonomous vehicle. For instance, a polygon representative of the shape and location of a first object may be received. A polyline contour representation of a portion of a polygon representative of the shape and location of a second object may be received. The polyline contour representation may be in half-plane coordinates and including a plurality of vertices and line segments. Coordinates of the polygon representative of the first object may be converted to the half-plane coordinate system. A collision location between the polyline contour representation and the polygon representative of the first object may be determined using the converted coordinates. The autonomous vehicle may be controlled in the autonomous driving mode to avoid a collision based on the collision location.

Driver vehicle setting values are crowd-sourced from multiple users in an anonymous manner. The crowd-sourced driver vehicle setting values are processed using machine learning to generate one or more vehicle setting recommendations to other users. The recommendations may be for vehicle settings that the user has not yet activated or vehicle setting values that are frequently used for a particular vehicle.

An on-vehicle situation detection apparatus may include a detection unit to identify a driver and acquire driver status data and data about vehicle driving information or vehicle surrounding obstacles, a driving pattern learning unit to learn and store a driving pattern of a driver, based on the data acquired by the detection unit, a weighted value determination unit to determine a weighted value assigned to the information data acquired by the detection unit, based on the driving pattern learned by the driving pattern learning unit, a determination unit to determine a safe driving state of the driver, based on the data to which the weighted value determined by the weighted value determination unit is assigned, and a warning unit to warn the driver when the driver is determined to be not in the safe driving state.

In a vehicle system, a driver information acquisition unit acquires information about a driver of a vehicle. A detection unit detects that there is a possibility that the vehicle has been damaged. An identification unit identifies a driver of the vehicle when it is detected that there is a possibility that the vehicle has been damaged, based on the acquired driver information.

Aspects of the present invention relate to a control system for a host vehicle, vehicle comprising the control system and a method for estimating a lateral position of a host vehicle. The host vehicle comprises a first sensor arrangement disposed at a first orientation relative to the host vehicle and at least one additional sensor arrangement, each additional sensor arrangement being disposed at an orientation relative to the host vehicle that is different to the first orientation. First sensor information is received from the first sensor arrangement and additional sensor information is received from each additional sensor arrangement. A lateral position of the vehicle relative to a roadway is determined using the additional sensor information if all or part of the first sensor information is interrupted and an output is provided in dependence on the determined lateral position.

Systems and methods are provided for using sensors and signal processing to detect vehicle surface impacts. In particular, a sensor and signal processing approach is provided for detecting impacts, with the results having a low false positive rate. The approach reduces operator costs by reducing operator involvement through improved automated detection technology. Additionally, systems and methods are provided for distinguishing chassis-driven fascia vibration from impact-driven fascia vibration.

Systems and methods are provided for using sensors and signal processing to detect vehicle surface impacts. In particular, a sensor and signal processing approach is provided for detecting impacts, with the results having a low false positive rate. The approach reduces operator costs by reducing operator involvement through improved automated detection technology. Additionally, systems and methods are provided for distinguishing chassis-driven fascia vibration from impact-driven fascia vibration.