Distance measurements are received from one or more distance measurement sensors, which may be coupled to a vehicle. A three-dimensional (3D) point cloud are generated based on the distance measurements. In some cases, 3D point clouds corresponding to distance measurements from different distance measurement sensors may be combined into one 3D point cloud. A voxelized model is generated based on the 3D point cloud. An object may be detected within the voxelized model, and in some cases may be classified by object type. If the distance measurement sensors are coupled to a vehicle, the vehicle may avoid the detected object.

Provided is a system including a record unit for recording identification information of an information terminal and appearance information of a moving object associated with the information terminal in association with each other. The system includes an acquisition unit for acquiring information representing an appearance of a moving object to be notified. The system includes an identification information specification unit for specifying the identification information recorded by the record unit in association with the appearance information matching the information acquired by the acquisition unit.

In various examples, systems and methods are disclosed that detect hazards on a roadway by identifying discontinuities between pixels on a depth map. For example, two synchronized stereo cameras mounted on an ego-machine may generate images that may be used extract depth or disparity information. Because a hazard's height may cause an occlusion of the driving surface behind the hazard from a perspective of a camera(s), a discontinuity in disparity values may indicate the presence of a hazard. For example, the system may analyze pairs of pixels on the depth map and, when the system determines that a disparity between a pair of pixels satisfies a disparity threshold, the system may identify the pixel nearest the ego-machine as a hazard pixel.

A vehicle includes an alarm portion, a storage configured to store information on a ground clearance, a camera configured to obtain a surrounding image including a front image and a rear image of the vehicle, and a controller configured to, when an object in front of the vehicle is recognized based on the front image obtained by the camera, determine a height of the object based on the front image obtained by the camera, and when the ground clearance is greater than the height of the object by comparing the height of the object with the ground clearance, and when the object is not recognized in a rear side of the vehicle based on the rear image obtained by the camera, configured to control the alarm portion to output a warning alarm.

Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise an interface to obtain sensing data of an environment of the host vehicle. A processing device may be configured to determine a planned navigational action for the host vehicle; identify a target vehicle in the environment of the host vehicle; predict a resulting distance between the host and target vehicles if the planned action were taken; determine a host vehicle stopping distance based on a braking rate, maximum acceleration capability, and current speed of the host vehicle; determine a target vehicle stopping distance based on a braking rate and current speed of the target vehicle; and continue with the planned navigational action while the predicted distance is greater than a minimum safe longitudinal distance calculated based on the host vehicle stopping distance and the target vehicle stopping distance.

The inventive subject matter provides devices and methods for improving driving safety using information obtained from images taken by a camera in a device. Among other things, contemplated devices and methods can produce alarms when it appear from rates of speed and acceleration/deceleration, that a vehicle will likely go through a red light, or fail to stop or sufficiently slow down at a stop sign. A significant feature of preferred devices and methods is that they are not dependent on WI-FI, cellular, satellite and radio signals, or any other external data transmission, and are not even dependent on speed, acceleration, or other information native to the vehicle.

This application provides a collision detection method and related apparatus. An image taken by a photographing unit may be used to predict whether a collision with a to-be-detected target will occur. In a current collision prediction method, a type of the to-be-detected target needs to be determined first based on the image taken by the photographing unit, which requires consuming of a large amount of computing power. In the collision prediction method provided in this application, a change trend of a distance between the to-be-detected target and a vehicle in which the apparatus is located may be determined based on the distances between the to-be-detected target and the vehicle at different moments, to predict a collision between the to-be-detected target and the vehicle. This method can improve efficiency in collision prediction and reduce energy consumption in predicting collision.

A point cloud display method includes determining, from a first point cloud, points describing a target object, where the first point cloud describes a surrounding area of a vehicle in which the in-vehicle system is located, and the target object is to be identified by the in-vehicle system, generating a second point cloud based on the points, and displaying the second point cloud.

It is intended to allow an orientation of a mobile device observed in imaging data to be more appropriately specified. There is provided an information processing device (100) including an acquisition unit (111c) that acquires the imaging data and a direction specification unit (111c) that analyzes the imaging data to specify the orientation of the mobile device observed in the imaging data.

Methods, systems, and apparatus for a detection system. The detection system includes a memory configured to store image data and a first camera configured to capture first image data including a first set of objects in the environment when the vehicle is moving. The electronic control unit is configured to obtain, from the first camera, the first image data including the first set of objects, determine a motion of an object of the first set of objects based on the first image data, and determine that the motion of the object will be different than a baseline motion for the object. The electronic control unit is configured to record and capture, in the memory and using the camera, the first image data for a time period before and after the determination that the motion of the object will be different than the baseline motion.