1342 results about "Self driven" patented technology

Aspects of the disclosure relate generally to notifying a pedestrian of the intent of a self-driving vehicle. For example, the vehicle may include sensors which detect an object such as a pedestrian attempting or about to cross the roadway in front of the vehicle. The vehicle's computer may then determine the correct way to respond to the pedestrian. For example, the computer may determine that the vehicle should stop or slow down, yield, or stop if it is safe to do so. The vehicle may then provide a notification to the pedestrian of what the vehicle is going to or is currently doing. For example, the vehicle may include a physical signaling device, an electronic sign or lights, a speaker for providing audible notifications, etc.

A DC-DC flyback converter, includes a three-winding transformer; a primary power circuit having a first MOSFET connected to a first winding of the transformer; a secondary power circuit connected to a second winding of the transformer terminals; and a self-driven circuit connected to a third winding of the transformer. The secondary power circuit includes a synchronous rectifier in the form of a second MOSFET and the self-driven circuit further includes a delay drive circuit, an isolation differential circuit, a negative removal circuit having a third MOSFET and a synchronous rectifier trigger switch-off circuit for switching the synchronous rectifier to an off condition.

The embodiment of the invention provides a decision-making method and deviceused in the process of lane changing, equipment and a storage medium. The method comprises the following steps ofacquiring afirst planned trajectory along which a self-driving vehicle runs towards a first lane and a second planned trajectory along which the self-driving vehicle runs towards a second lane in a preset period of time in the process of lane changing of the auto-driving vehicle, wherein the first lane is a target lane in the process of lane changing, and the second lane is a lane where the self-driving vehicle is located at the beginning of the process of lane changing; predicting the predicted trajectories of obstacles in the preset period of time according to the operation status of at least one obstacle in a preset range around the self-driving vehicle; and making a decision of the running action of the self-driving vehicle according to the first planned trajectory, the second planned trajectoryand the predicted trajectories of the obstacles. The decision-making method and device in the embodiment of the invention can cope with the unexpected situation on a road in the process of lane changing of the self-driving vehicle.

Provided is a process, including: obtaining a composition record defining at least one service of a multi-container application; selecting a plurality of infrastructure or application performance monitoring agents based on the composition record defining the multi-container application; causing the selected agents to be deployed on one or more computing devices executing the multi-container application; receiving metrics or events from the agents indicative of performance of at least part of the multi-container application or at least some of the one or more computing devices executing the multi-container application; and causing an indication of the received metrics or events to be presented.

Described are a method and a system for localization of a vehicle. The method includes the acquisition of SPR images of a subsurface region along a vehicle track. Acquired SPR images are compared to SPR images previously acquired for a subsurface region that at least partially overlaps the subsurface region along the vehicle track. In some embodiments, the comparison includes an image correlation procedure. Location data for the vehicle are determined based in part on location data for the SPR images previously acquired for the second subsurface region. Location data can be used to guide the vehicle along a desired path. The relatively static nature of features in the subsurface region provides the method with advantages over other sensor-based navigation systems that may be adversely affected by weather conditions, dynamic features and time-varying illumination. The method can be used in a variety of applications, including self-driving automobiles and autonomous platforms.

Self-driving vehicles have unlimited potential to learn and predict human behavior and perform actions accordingly. Several embodiments described herein enable a self-driving vehicle to monitor human activity and predict when and where the human will be located and whether the human needs a ride from the self-driving vehicle. Self-driving vehicles will be able to perform such tasks with incredible efficacy and accuracy that will allow self-driving vehicles to proliferate at a much faster rate than would otherwise be the case.