A traffic signal recognition method and a traffic signal recognition device estimate whether or not a vehicle can be decelerated at a predetermined deceleration acceleration and can stop before a stop line based on a position of the stop line corresponding to a traffic signal located in a traveling direction of the vehicle, select the traffic signal corresponding to the stop line as a target traffic signal in a case where it is estimated that the vehicle cannot stop before the stop line, set detection area corresponding to the target traffic signal on an image obtained by capturing the traveling direction of the vehicle, and determine a display state of the target traffic signal by executing image processing on the detection area.

A smart device is provided with an application program for displaying a video feed received from the smart device's camera. The application can determine the coordinates for an intersection point, which is a point on the ground where the smart device is pointing at. The application can display a target on the visual representation of the intersection point. Based on whether the smart device is at an appropriate distance from the intersection point, the user interface can superimpose an indicator on the video feed received from the camera. This can inform the user whether the smart device is at an optimal scan distance from the intersection point (or an object) so that the object can be identified by a machine learning model.

A non-transitory computer-readable recording medium having stored therein an analysis program causing a computer to execute processing includes: generating a regression function including a plurality of explanatory variables and an objective variable based on regression analysis using observed values of a plurality of physical elements each related to motion of a moving object; dividing an explanatory variable space containing the plurality of explanatory variables into a plurality of regions by using the regression function; and generating contribution information on a contribution of each of the plurality of explanatory variables to the objective variable for each of the plurality of regions.

System, method, and device for controlling a vehicle. In one example, the system includes an electronic processor configured to capture, via a camera, a first image, determine, within the first image, a road traffic factor, and generate, based on sensor information from one or more sensors of the vehicle, a second image depicting an environment surrounding the vehicle. The second image includes the road traffic factor. The electronic processor is also configured to, determine, based on the detected road traffic factor and the second image, a predicted trajectory of a traffic participant proximate to the vehicle, and generate a steering command for the vehicle based on the predicted trajectory.

The disclosure provides a method and an apparatus for detecting a mobile traffic light. The method includes: obtaining a set of positive sample images with the mobile traffic light and a set of negative sample images without the mobile traffic light; extracting current training data respectively from the set of positive sample images and the set of negative sample images based on a preset sampling ratio; detecting the mobile traffic light of each image in the current training data with a first preset detection model to determine a detection result of each image; determining current classification loss and detecting frame regression loss based on a difference between the detection result of each image and labeled data; and generating a detection model for detecting the mobile traffic light in case that the current classification loss and the current detecting frame regression loss meet a preset condition.

A host vehicle including a plurality of sensors communicably coupled to the host vehicle. Additionally, the host vehicle includes processing circuitry configured to map-match a location of the host vehicle while the host vehicle is operating on a highway, receive obstruction information from the plurality of sensors, the plurality of sensors having a predetermined field of view corresponding to a host vehicle field of view, estimate a driver field of view based on the host vehicle field of view, determine whether a speed of the host vehicle is safe based on the driver field of view and the obstruction information, and modify driver operation in response to a determination that the speed of the host vehicle is not safe based on the driver field of view.

A driving support system includes: an acquisition portion configured to acquire visual-recognition position information on a position where a driver of a vehicle visually recognizes a traffic light; an image acquisition portion configured to acquire a forward image ahead of the vehicle; a traffic-light recognition portion configured to recognize a traffic light included in a forward image; and a notification portion configured to notify the driver of warning when the traffic light is not recognized from the forward image, in a case where the vehicle is present at a position based on the visual-recognition position information.

A navigation system for a host vehicle is provided. The system may comprise at least one processing device comprising circuitry and a memory. The memory includes instructions that when executed by the circuitry cause the at least one processing device to: receive a plurality of images acquired by a camera, the plurality of images being representative of an environment of the host vehicle; analyze the plurality of images to identify a presence in the environment of the host vehicle a navigation rule suspension condition; temporarily suspend at least one navigational rule in response to identification of the navigation rule suspension condition; and cause at least one navigational change of the host vehicle unconstrained by the temporarily suspended at least one navigational rule.

Proceed-or-stop determination apparatus, includes: camera mounted on self-driving vehicle and configured to acquire image in traveling direction of the vehicle; speed acquisition unit configured to acquire traveling speed of the vehicle; position acquisition unit configured to acquire position of the vehicle with respect to stop position corresponding to traffic light in the traveling direction; and controller. The controller is configured to perform: recognizing the traffic light at predetermined cycle based on the image; recognizing lighting state of the traffic light; and determining whether the vehicle should proceed or stop at the predetermined cycle based on the lighting state, traveling speed, and position, when the traffic light is recognized. The controller determines whether the vehicle should proceed or stop further based on previous determination result in previous cycle and the lighting state recognized in the previous cycle.

The invention relates to a method for an automated starting of a means of transport (80) at a light-signal system (70), comprising: recording an image of the light-signal system (70) by means of a first optical sensor (30) of the means of transport (80), determining a signaling state of the light-signal system (70) by means of the recorded image, executing an automated starting process of the means of transport (80) in response to a signaling state representing and/or announcing a travel clearance, determining a user action of a driver of the means of transport (80) for plausibility checking of the starting process, and depending on a result of the plausibility check, automatically continuing or terminating of the starting process.