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The present invention teaches 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.

A maintenance system can be used with a self-driving vehicle. The maintenance system can include a vehicle management system configured to autonomously drive the vehicle to a destination chosen by a rider. The maintenance system can include a smoke detection system configured to detect smoke inside a cabin of the vehicle.

A maintenance system can be used with a self-driving vehicle. The maintenance system can include a vehicle management system configured to autonomously drive the vehicle. The maintenance system can include a smoke detection system configured to detect smoke inside the vehicle and a communication system configured to send wireless communications to a remote computing device in response to the smoke detection system detecting the smoke.

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. Detecting a battery charge indication below a threshold can trigger several responses configured to minimize the risk of the self-driving vehicle failing to pick up the user due to the remote computing device having a low or dead battery.

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.

A maintenance system can be used with a self-driving vehicle. The maintenance system can include a vehicle management system configured to autonomously drive the vehicle to a destination chosen by a rider. The maintenance system can include a smoke detection system configured to detect smoke inside a cabin of the vehicle.

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.

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 determine high traffic areas and thereby move a self-driving vehicle to a variety of pick-up locations to meet a rider. Methods also include receiving, by the vehicle management system, a primary pick-up location to meet the rider. Additionally, methods include determining, by the vehicle management system, whether traffic adjacent to the primary pick-up location is greater than a predetermined traffic threshold.

A vehicle management system can send a first pick-up location to a remote computing device of a prospective rider. A location tracking system is configured to monitor a location of the rider as the rider walks to rendezvous with the vehicle. The vehicle management system can later determine, based on the location of the rider as the rider walks to rendezvous with the vehicle, that the vehicle could rendezvous with the rider sooner by using a second pick-up location. The vehicle management system can prompt the vehicle navigation system to cease directing the vehicle toward the first pick-up location and instead direct the vehicle toward the second pick-up location. The vehicle management system can prompt the remote computing device to cease directing the rider toward the first pick-up location and instead direct the rider toward the second pick-up location.

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.

A maintenance system can be used with a self-driving vehicle. The maintenance system can include a smoke detection system that is coupled to the self-driving vehicle and is configured to detect smoke inside a passenger cabin of the vehicle, a motor compartment of the vehicle, or a battery compartment of the vehicle.

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.

The invention relates to the field of preparation of textile auxiliary agents, in particular to a preparation method of an all-cotton fabric fluorine-silicone waterproof finishing agent. The inventionprovides the waterproof finishing agent special for an all-cotton fabric. The finishing agent is composed of a medium-long-chain alkyl cation polysiloxane emulsion and a novel organic fluorine-silicone emulsion. Modified polysiloxane with a high content of SiHx bond is added in the synthesis process, and therefore the problem that a dual-layer silicon resin film is generated on a polar surface ofan emulsion and causes the decline in hydrophobic capacity and washable property is avoided. The novel organic fluorine-silicone copolymer emulsion is prepared from low-cost, uneasily-degradable andenvironment-friendly short-fluorocarbon-chain monomers and cyclosiloxane through catalytic polymerization, and therefore the problems of high cost and severe pollution of a fluorine-containing emulsion are solved. The all-cotton fabric subjected to finishing of the finishing agent has a smooth and flat surface layer and a good hydrophobic effect. The finishing agent has excellent softness and hydrophobic property and is a product with unlimited potential, profound significance and great production value.