Other

Drivent LLC

Innovelis, Inc.

Drivent Technologies Inc.

Wesley Edward Schwie

Eric John Wengreen

Brian Jeffrey Wengreen

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.

Self-driving vehicle systems and methods

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 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 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 vehicle monitoring system can include a detection system having a camera, radar, and lidar. The vehicle monitoring system can detect a vehicle, generate numerical position data indicative of a first serpentine path of the vehicle as the vehicle drives on a road, numerically analyze the first numerical position data, and in response, take actions to protect lives.

Vehicle detection systems

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 seat-belt monitoring system can include a first self-driving vehicle having a first seat, a first seat belt, and a first seat belt sensor; and a second self-driving vehicle having a second seat, a second seat belt, and a second seat belt sensor. The first seat belt sensor may be configured to detect a buckled state of the first seat belt and an unbuckled state of the first seat belt. The second seat belt sensor may be configured to detect a buckled state of the second seat belt and an unbuckled state of the second seat belt.

A vehicle fire is an emergency in which seconds count. Each second saved until the rider exits the vehicle can significantly reduce the severity of injuries due to the fire. Accordingly, a safety system can include a self-driving vehicle configured to transport a rider, a vehicle management system configured to autonomously drive the self-driving vehicle, a seat coupled to the self-driving vehicle, and a seat belt configured to alternatively have a buckled state and an unbuckled state. In many embodiments, the safety system includes a smoke detection system coupled to the self-driving vehicle and configured to detect smoke inside a cabin of the self-driving vehicle.

A vehicle guidance system can include a first vehicle that has a camera, radar, and lidar to detect a first path of a second vehicle as the first and second vehicles drive on a road. A processor system of the vehicle guidance system can analyze a first deviation of the first path. Measurements from another detection system can provide additional data regarding a second path of the second vehicle. Analyzing the first path in light of the second path can enable the vehicle guidance system to identify impaired driving indicators. The vehicle guidance system can warn vehicles about the impaired driver.

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 vehicle monitoring system can include a detection system having a camera, radar, and lidar. The vehicle monitoring system can detect a vehicle, generate numerical position data indicative of a first path of the vehicle as the vehicle drives on a road, numerically analyze the first numerical position data, and in response, take actions to protect lives.

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Minneapolis, MN, United States of America

Wesley Edward Schwie