G01S2015/937

FRONT OBSTACLE ALERTING SYSTEM

Disclosed is a front obstacle alerting system comprising an obstacle-side signal emitting device and a vehicle-side alerting device, wherein the obstacle-side signal emitting device is a signal emitting element of a front obstacle and emits a directional ultrasonic wave toward a rear side of the front obstacle, and the vehicle-side alerting device is disposed in or on a vehicle and correspondingly outputs an alerting signal according to the directional ultrasonic wave received from a front side of the vehicle.

Work vehicle, object indication system, and method of indicating location of an object

A method of indicating to an operator of a work vehicle a relative location of an object, an object indication system, and a work vehicle are provided. The method includes sensing the object with one or more sensors positioned at one or more sensor positions on the work vehicle and activating one or more indicators positioned at one or more indicator positions relative to the operator based on the sensing of the object with the one or more sensors. Each sensor position directionally corresponds to one or more of the indicator positions.

ULTRASONIC SENSOR AND SENSOR ATTACHMENT
20230057481 · 2023-02-23 ·

A sensor attachment is used in securing an ultrasonic sensor to a plate-like vehicle body member. The ultrasonic sensor is equipped with a cylindrical ultrasonic microphone extending in an axial direction perpendicular to a center axis line. The sensor attachment includes a cylinder which is fit in a through-hole in the vehicle body member and surrounds the ultrasonic microphone in a vehicle-mounted state where the ultrasonic sensor is mounted in the vehicle body member. The cylinder includes a through-hole facing portion which faces an inner surface of the through- hole in proximity thereto in a radial direction perpendicular to the center axis line in the vehicle- mounted state. The through-hole facing portion is designed to have a contact surface-decreasing structure which minimizes an area of contact with the inner surface of the through-hole.

AUTONOMOUS VEHICLE THAT COMPRISES ULTRASONIC SENSORS
20220365210 · 2022-11-17 ·

An autonomous vehicle includes a first ultrasonic sensor and a second ultrasonic sensor that is included in a daisy chain with the first ultrasonic sensor, wherein the first ultrasonic sensor is electrically connected to the second ultrasonic sensor in the daisy chain by way of a twisted pair wire. The autonomous vehicle further includes an electronic control unit (ECU) for the first ultrasonic sensor and the second ultrasonic sensor, the ECU is included in the daisy chain with the first ultrasonic sensor and the second ultrasonic sensor, wherein the ECU is electrically connected to the first ultrasonic sensor and the second ultrasonic sensor by way of the twisted pair wire, and further wherein the ECU is in bidirectional communication with the first ultrasonic sensor and the second ultrasonic sensor by way of differential signaling over the twisted pair wire.

Movable image recording device and vehicle provided with such device

Image recording device provided with a fixed part for at least partial inclusion in and/or on the body of a motor vehicle, and a movable part which comprises at least one optical element, the optical element comprising at least one optical sensor and/or a lens unit, and an adjustment device provided with a power source, for adjusting the movable part between a first position and a second position, wherein during use in the first position the movable part is wholly or partly included in the body, and in the second position the movable part extends at an angle with respect to the body, such that at least the optical element carried by the movable part extends at least partly outside the body, wherein the movable part pivots from the second position about a, preferably substantially vertical, axis to the first position and vice versa.

Ultrasonic sensor

An ultrasonic sensor is provided with a sensor body, a cushion member, a retainer part and a waterproof seal. The sensor body has an ultrasonic microphone and a microphone support part. The cushion member covers a protrusion part of the ultrasonic microphone. The retainer part sandwiches a sandwiched part on a proximal end side between the retainer part and an outer peripheral surface of the ultrasonic microphone, while exposing an exposed part on a tip end side in the axial direction of the cushion member. The waterproof seal blocks a gap between a vehicle body component and the exposed part of the cushion member in an on-board state.

Vehicular front camera testing system
11609304 · 2023-03-21 · ·

A vehicular test system for testing a vehicular sensing system includes a sensor support structure having a proximal end disposed at a vehicle, a distal end extending away from the vehicle, and a force providing element that provides a force to move the distal end of the sensor support structure. A vehicular sensor is disposed at the distal end of the sensor support structure. When the vehicular sensor is approaching a collision with an object, such as during testing of vehicular sensors and vehicular sensing systems, a control controls the force providing element to move the distal end of the sensor support structure and the vehicular sensor to avoid the collision.

Stereo depth estimation using deep neural networks

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.

COMPUTATIONAL NOISE COMPENSATION FOR ULTRASONIC SENSOR SYSTEMS

The present invention relates to a method for computational noise compensation for an ultrasonic sensor system (1) that is mounted in a concealed manner, in particular for a vehicle with a wall material (2), including the following steps: detecting reference surroundings information (100) comprising noise signal information (3) relating to a wall material (2) and/or airborne sound signal information (4), using an ultrasonic sensor (5) of the ultrasonic sensor system (1); storing the reference surroundings information (200); detecting real-time surroundings information (300) comprising noise signal information (3) relating to the wall material (2) and/or airborne sound signal information (4), using the ultrasonic sensor (5); and forming a difference signal between the pieces of surroundings information (400) of reference surroundings information and real-time surroundings information, using a computational unit (6).

The present invention also relates to a system for computational ultrasound compensation having means for performing the steps of the method. The present invention further relates to a vehicle having the system for computational ultrasound compensation. The present invention furthermore relates to a computer program, to a data carrier signal, and to a computer-readable medium.

Near-object detection using ultrasonic sensors
11634127 · 2023-04-25 · ·

This document describes near-object detection using ultrasonic sensors. Specifically, when an object is in a near-object range or distance from a vehicle, an object-detection system of the vehicle can utilize raw range measurements and various parameters derived from the raw range measurements. The various parameters may include an average, a slope, and a variation of the range. In the near-object range, using the parameters derived from the raw range measurements may lead to increases in the accuracy and performance of a vehicle-based object-detection system. The increased accuracy in near-object detection capability enhances safe driving.