30results about How to "Unlimited potential" patented technology

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.

An energy generator comprising a generally flat and partially flexible traffic surface on which pedestrians and traffic may pass. Underneath the traffic surface, a plurality of dynamo cells each have a dynamo therein, each dynamo having two electricity generating elements (magnets, coils, etc) and an operative electrical connection to an electrical load such as a battery, capacitor, light, an electrical network or the like. A first electrical generating element in each dynamo may be disposed so that it moves downward when weight from traffic is applied to the traffic surface, while a second electricity generating element remains stationary, supported by the bottom surface of the energy generator. A spring and bottom support may urge the first (moving) element back upwards when the imposed force is released.

Self-driving vehicles have unlimited potential to learn and predict human behavior and perform actions accordingly. Vehicle management systems can be configured to help govern self-driving vehicles. A vehicle management system can communicatively couple a self-driving vehicle to a remote computing device of a user of the vehicle. Losing communication with the remote computing device can cause the vehicle management system to take actions designed to safeguard the user.

Self-driving vehicles have unlimited potential to learn and predict human behavior and perform actions accordingly. Several embodiments described herein include a method of using a vehicle management system to identify a high traffic area and move a self-driving vehicle to meet a rider. Methods also include receiving, by the vehicle management system, a primary pick-up location to meet the rider and detecting, by an antenna of the self-driving vehicle, a number of remote computing devices adjacent the primary pick-up location. Additionally, methods may include determining, by at least one of the vehicle management system and a remote computing device associated with the rider, that the number of remote computing devices exceeds a predetermined remote computing device threshold.

A vehicle management system can include self-driving vehicles. Before entering a self-driving vehicle, a rider can use a remote computing device to select a pick-up location at which a self-driving vehicle will later pick up the rider. Detecting that the remote computing device is unable to communicate with the vehicle management system can trigger several responses configured to minimize the risk of a self-driving vehicle failing to pick up the rider.

A vehicle management system can send a first pick-up location to a vehicle navigation system and to a remote computing device of a rider. The remote computing device can include an accelerometer that monitors accelerations as the rider carries the remote computing device. Analyzing the accelerations enables the vehicle management system to choose or update a pick-up location to best serve the rider.

A safety system can include a self-driving vehicle, a temperature detection system attached to the self-driving vehicle, and a vehicle management system configured to autonomously drive the self-driving vehicle. The self-driving vehicle can include cameras, lidar, and radar to detect objects on the road. The vehicle management system can be configured to respond to the temperature detection system detecting elevated temperatures.

A safety system can include a self-driving vehicle, a temperature detection system attached to the self-driving vehicle, and a vehicle management system configured to autonomously drive the self-driving vehicle. The self-driving vehicle can include cameras, lidar, and radar to detect objects on the road. The vehicle management system can be configured to respond to the temperature detection system detecting elevated temperatures.

The invention relates to the field of preparation of textile auxiliaries. The invention relates to a method for preparing a fluorosilicone waterproof finishing agent for cotton fabrics. The invention provides a waterproof finishing agent specially for cotton fabrics. The finishing agent consists of a medium-length It is composed of chain alkyl cationic polysiloxane emulsion and a new type of organic fluorosilicon emulsion. During the synthesis process, modified silicone oil with higher silicon-hydrogen bond content is added to prevent the emulsion from forming a double-layer silicone resin film on the polar surface. The problem of decreased hydrophobicity and water-washing resistance; a new type of organic fluorosilicon copolymer emulsion provided by the present invention is obtained by catalytic polymerization of short fluorocarbon chain monomers and cyclosiloxanes that are low in cost, difficult to degrade, and more environmentally friendly. The problem of high cost and heavy pollution of the fluorine-containing emulsion is solved; the surface layer of the cotton fabric finished by the finishing agent of the invention is smooth and smooth, and the hydrophobic effect is better. Combined with softness and hydrophobicity, it is a product with great potential, profound meaning and great production value.