A collision avoidance assembly for reducing collisions with a semitrailer includes a rear and side facing alert modules, which are mountable to a semitrailer, and a control module, which is mountable in a cab of a semitruck engaged to the semitrailer. Each alert module comprises a sensor, a camera, and a speaker. The sensors detect and the cameras image an approaching vehicle. The speaker and the control module provide audible alerts to a driver of the approaching vehicle and an operator of the semitrailer, respectively, so as to facilitate collision avoidance.

Described are street level intelligence platforms, systems, and methods that can include a fleet of swarm vehicles having imaging devices. Images captured by the imaging devices can be used to produce and/or be integrated into maps of the area to produce high-definition maps in near real-time. Such maps may provide enhanced street level intelligence useful for fleet management, navigation, traffic monitoring, and/or so forth.

A robot includes a gas collector; a gas sensor configured to sense a gas collected by the gas collector; a camera; a driver; and a processor configured to: based on the gas sensed by the gas sensor identified as a first type gas, control the driver to decrease a moving speed of the robot, identify a gas generating area based on data sensed by the gas sensor while the robot is moving at the decreased speed, and control the camera to capture the identified gas generating area.

Object overlay for vehicle occupants includes determining that visibility of an object in a view of a vehicle occupant through a transparent surface of the vehicle is degraded, the object being in an environment in which the vehicle travels, selecting from an image repository a reference image of the object, extracting, from the reference image, an image portion comprising an image of a least a portion of the object, transforming the extracted image portion to correspond to the view of the vehicle occupant, the transforming producing a transformed image portion, and displaying the transformed image portion on the transparent surface and interposed in a line-of-sight of the vehicle occupant to the object in the environment such that the transformed image portion overlays at least a portion of the vehicle occupant's view through the transparent surface to the object in the environment.

Methods and devices for actively modifying a field of view of an autonomous vehicle in view of constraints are disclosed. In one embodiment, an example method is disclosed that includes causing a sensor in an autonomous vehicle to sense information about an environment in a first field of view, where a portion of the environment is obscured in the first field of view. The example method further includes determining a desired field of view in which the portion of the environment is not obscured and, based on the desired field of view and a set of constraints for the vehicle, determining a second field of view in which the portion of the environment is less obscured than in the first field of view. The example method further includes modifying a position of the vehicle, thereby causing the sensor to sense information in the second field of view.

A hub that receives sensor data streams and then distributes the data streams to the various systems that use the sensor data. A demultiplexer (demux) receives the streams, filters out undesired streams and provides desired streams to the proper multiplexer (mux) or muxes of a series of muxes. Each mux combines received streams and provides an output stream to a respective formatter or output block. The formatter or output block is configured based on the destination of the mux output stream, such as an image signal processor, a processor, memory or external transmission. The output block reformats the received stream to a format appropriate for the recipient and then provides the reformatted stream to that recipient.

This disclosure describes systems and methods used in the development and validation of autonomous vehicles ability to track objects with sensors. This application describes a self-propelled autonomous platform and methods for carrying a pedestrian, cyclist or vehicular type target in a predetermined pattern during one or more testing runs. The self-propelled autonomous platform includes a sensor configured to retract within a platform housing of the self-propelled autonomous platform when being driven over during a test run.

A work screen display system including a position information obtaining unit for obtaining position information on a work vehicle based on positioning correction information supplied from a first reference station; a region shape determination unit for determining a shape of a specific region where the work vehicle performs autonomous travel, based on positioning correction information supplied from a second reference station; and a display control unit for displaying, on a display unit, a specific region indication section indicating the specific region determined by the region shape determination unit. The display control unit displays the specific region indication section in a display mode that varies between a case where the first and second reference stations are identical and a case where the first and second reference stations are not identical.

The invention relates to a method for: displaying an environment (16) of a vehicle (10), the vehicle (10) having a camera-based environment detection system (14) for detecting the environment (16) of the vehicle (10); and moving the vehicle (10) to a target position (24) in the environment (16). The method comprises the steps: providing images of the environment (16) of the vehicle (10) using the camera-based environment detection system (14); generating a bird's eye view of an environment image (26) based on the images of the environment (16) of the vehicle (10) provided using the camera-based environment detection system (14); determining at least one target position (24) in the environment (16) of the vehicle (10); displaying the at least one target position (24) in a first superimposition plane which covers the environment (16) of the vehicle (10); and superimposing the first superimposition plane on the environment image (26). The invention also relates to a corresponding driving assistance system (10) designed to perform the above method.

An autonomous vehicle having a sensor and a sensor having a plurality of light transmitters and a plurality of light receivers that are arranged in a common housing, with the optical axes of the light transmitters and light receivers being arranged in parallel or in fan form in different angle directions having angular intervals, whereby a protected field is formed, and having a control and evaluation unit for monitoring and evaluating the protected field, wherein a camera is connected to the control and evaluation unit, with camera images of the camera being evaluated by the control and evaluation unit.