A LiDAR sensor (41) is configured to sense information of an outside of a vehicle. An ultrasonic sensor (42) is configured to sense information of the outside of the vehicle in a different manner from the LiDAR sensor (41). A first bracket (43) supports the LiDAR sensor (41) and the ultrasonic sensor (42). A first sensor actuator (44) is configured to adjust a sensing reference position of the LiDAR sensor (41) relative to the first bracket (43). A second sensor actuator (45) is configured to adjust a sensing reference position of the ultrasonic sensor (42) relative to first bracket (43). A first bracket actuator (46) is configured to adjust at least one of a position and a posture of the first bracket (43) relative to the vehicle.

The vibration absorber includes a large diameter portion and a small diameter portion, being provided to be supported between the ultrasonic microphone and the sensor mounting device. The small diameter portion is formed such that an outer diameter thereof is smaller than that of the large diameter portion, and is provided adjacently to the large diameter portion in a circumferential direction. A pair of large diameter portions are disposed to face with each other across the center axis line. A pair of small diameter portions are disposed to face with each other across the center axis line. The vibration absorber is configured such that a direction where the pair of large diameter portions positioned across the center axis line are arranged and a direction where the pair of small diameter portions positioned across the center axis line are arranged, cross each other at right angle.

A robotic cleaning appliance includes a housing to which is coupled a surface treatment item and a sensor assembly with first and second transducers and an acoustic interface. The first sonic transducer transmits sonic signals through an acoustic interface and out of a first acoustic opening toward a surface beneath the robotic cleaning appliance. The sonic signals reflect from the surface as corresponding returned signals received by the second sonic transducer via a second acoustic opening port of the acoustic interface. A first plurality of annular rings is defined in the external surface around the first acoustic opening port and a second plurality of annular rings is defined in the external surface around the second acoustic opening port. The pluralities of annular rings attenuate direct path echoes from a subset of the transmitted sonic signals which attempt to travel across the external surface to the second acoustic opening port.

One or more vehicle sensors can be integrated into existing vehicle housings or structures to provide a streamlined appearance, potentially improved sensing capabilities, and a reduction in the use of extra structures to hold the one or more vehicle sensors. In one or more arrangements, one or more vehicle sensors can be located within a body of the vehicle and can be spaced from the vehicle emblem in a longitudinal direction of the vehicle. The one or more sensors can be configured and/or operatively positioned to sense at least a portion of an external environment of the vehicle through the vehicle emblem. In one or more arrangements, one or more sensors can be located within a front grille of the vehicle. The one or more sensors are configured to sense at least a portion of an external environment of the vehicle through the front grille.

The present embodiment relates to a vehicle control apparatus or a rear-end collision avoidance apparatus, and may optimally set a reactivation condition for performing reactivation of a rear emergency braking function based on whether an engine operates after the rear emergency braking function is deactivated by a driver's braking input in an operation such as backward parking or the like, a vehicle speed and vehicle traveling distance after the rear emergency braking function is deactivated, a separation distance from an initial stoppage position to an obstacle after the rear emergency braking function is deactivated, and the like, thereby securing both convenience and safety of the driver.

Vehicle sensor systems include modular sensor kits having one or more pods (e.g., sensor roof pods) and/or one or more bumpers (e.g., sensor bumpers). The sensor roof pods are configured to couple to a vehicle. A sensor roof pod may be positioned atop a vehicle proximate a front of the vehicle, proximate a back of the vehicle, or at any position along a top side of the vehicle being coupled, for example, using a mounting shim or a tripod. The sensor roof pods can include sensors (e.g., LIDAR sensors, cameras, ultrasonic sensors, etc.), processing units, control systems (e.g., temperature and/or environmental control systems), and communication devices (e.g., networking and/or wireless devices).

An obstacle warning apparatus in a vehicle specifies a position of an obstacle relative to the vehicle based on a detection result by an obstacle sensor. A warning determination section determines whether a warning about the obstacle needs to be executed, based on the specified position of the obstacle. The warning determination section determines that the warning about the obstacle does not need to be executed when an overlap determination section determines that a vehicle range overlaps with a range where the obstacle exists.

A heater for vehicular sensors is configured to pass sensing energy and thereby permit placement of the heater directly over the sensing area in the path of the sensed energy. In this way, direct heating of the sensing area is provided minimizing the energy necessary to prevent icing and improving deicing speed.

A trailer angle detection system for a vehicle includes a camera disposed at a rear portion of the vehicle and viewing rearward of the vehicle. A plurality of ultrasonic sensors is disposed at the rear portion of the vehicle and sense rearward of the vehicle. A control has at least one processor operable to process image data captured by the camera. Responsive to processing of image data captured by the camera, the control detects a trailer rearward of the vehicle and in the field of view of the camera. The at least one processor is operable to process sensor data captured by the ultrasonic sensors to determine a distance to portions of the trailer rearward of the vehicle. Responsive to processing of captured image data and processing of captured sensor data, the trailer angle detection system is operable to determine an angle of the trailer relative to the vehicle.

Various examples of the present disclosure include a stereoscopic deep neural network (DNN) that produces accurate and reliable results in real-time. Both LIDAR data (supervised training) and photometric error (unsupervised training) may be used to train the DNN in a semi-supervised manner. The stereoscopic DNN may use an exponential linear unit (ELU) activation function to increase processing speeds, as well as a machine learned argmax function that may include a plurality of convolutional layers having trainable parameters to account for context. The stereoscopic DNN may further include layers having an encoder/decoder architecture, where the encoder portion of the layers may include a combination of three-dimensional convolutional layers followed by two-dimensional convolutional layers.