Abstract: A system for managing a set of fleet vehicles includes a central command unit having a processor and tangible, non-transitory memory on which instructions are recorded. The fleet vehicles have one or more respective electronic components and respective vehicle controllers adapted to perform self-diagnosis of their respective electronic components. The central command unit is adapted to receive notification of the self-diagnosis and classify the respective electronic components as working ones and non-working ones. The central command unit is adapted to perform component matching, including polling inventory across the fleet vehicles. Working ones of the respective electronic components are selectively redistributed for reuse across the fleet vehicles. In some embodiments, at least one of the fleet vehicles is designated as a master vehicle and the central command unit is stored in the master vehicle. In other embodiments, the central command unit is stored in a cloud computing service.

Abstract: A multimodal freight monitoring and contextual notification system for a delivery vehicle. The system may include one or more monitoring systems configured to generate monitoring data for multimodal monitoring of freight included within a cargo bay of the delivery vehicle and a contextual notification controller configured to generate a contextual notification as a function thereof.

Abstract: A system includes a source vehicle and a destination vehicle. The destination vehicle is configured to determine that the source vehicle and the destination vehicle are suitably close to exchange data through a wireless communications channel, compare current version numbers in the destination vehicle with approved version numbers in the source vehicle, approve an update for one or more current software components in the destination vehicle in response to one or more criteria, receive one or more approved software components at the destination vehicle from the source vehicle via the wireless communications channel in response to the current version numbers of the current software components approved for the update being different from corresponding ones of approved version numbers of the approved software components, and update the one or more current software components in the destination vehicle with the one or more approved software components received from the source vehicle.

Abstract: An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data, defining a blind spot region around one or more other vehicles using the detected object data, determining whether the motorcycle is located in the blind spot region, and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle when the motorcycle is determined to be located in the blind spot region.

Abstract: Presented are adaptive operator assistance systems for motor-assisted manually powered (MMP) vehicles, methods for making/using such systems, and electric scooters equipped with such systems. A method of operating an MMP vehicle using a handheld mobile computing device (MCD) includes the handheld MCD receiving path plan data for the MMP vehicle and then receiving, based on this path plan data, MMP-specific ambient data that is aligned with the vehicle's present location and contains surrounding environment data particular to the MMP vehicle. A wireless location device of the handheld MCD tracks the MMP vehicle's real-time location, and a sensing device of the handheld MCD detects MMP-specific threat data that is aligned with the vehicle's real-time location and contains user danger data particular to the MMP vehicle. The handheld MCD then commands a resident subsystem of the MMP vehicle to execute a control operation based on the MMP-specific ambient data and/or threat data.

Abstract: A system includes a source vehicle and a destination vehicle. The destination vehicle is configured to determine that the source vehicle and the destination vehicle are suitably close to exchange data through a wireless communications channel, compare current version numbers in the destination vehicle with approved version numbers in the source vehicle, approve an update for one or more current software components in the destination vehicle in response to one or more criteria, receive one or more approved software components at the destination vehicle from the source vehicle via the wireless communications channel in response to the current version numbers of the current software components approved for the update being different from corresponding ones of approved version numbers of the approved software components, and update the one or more current software components in the destination vehicle with the one or more approved software components received from the source vehicle.

Abstract: A system for managing a set of fleet vehicles includes a central command unit having a processor and tangible, non-transitory memory on which instructions are recorded. The fleet vehicles have one or more respective electronic components and respective vehicle controllers adapted to perform self-diagnosis of their respective electronic components. The central command unit is adapted to receive notification of the self-diagnosis and classify the respective electronic components as working ones and non-working ones. The central command unit is adapted to perform component matching, including polling inventory across the fleet vehicles. Working ones of the respective electronic components are selectively redistributed for reuse across the fleet vehicles. In some embodiments, at least one of the fleet vehicles is designated as a master vehicle and the central command unit is stored in the master vehicle. In other embodiments, the central command unit is stored in a cloud computing service.

Abstract: An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data and outputting directional audible, tactile or visual feedback, via an output system, to a rider of the motorcycle based on the detected object data.

Abstract: An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data, determining an approaching vehicle threat based on the detected object data, and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle indicating the approaching vehicle threat.

Abstract: An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data, defining a blind spot region around one or more other vehicles using the detected object data, determining whether the motorcycle is located in the blind spot region, and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle when the motorcycle is determined to be located in the blind spot region.

Abstract: An obstacle detection and notification system for a motorcycle. The system includes a forward looking thermal camera and a backward looking thermal camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle based on the detected object data.

Abstract: An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data, defining a blind spot region around one or more other vehicles using the detected object data, determining whether the motorcycle is located in the blind spot region, and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle when the motorcycle is determined to be located in the blind spot region.

Abstract: A vehicle sharing system for use with a vehicle. The vehicle sharing system comprises: i) a lockbox mounted on an exterior of the vehicle, the lockbox including a vehicle key that opens a door of the vehicle; and ii) a vehicle sharing control module disposed in the interior of the vehicle. The vehicle sharing control module communicates with the lockbox in order to open a door associated with the lockbox in response to a first command message received from a mobile device associated with a user. The lockbox is mounted on a license plate holder of the vehicle and the license plate is mounted on the door of the lockbox.

Abstract: An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data, defining a blind spot region around one or more other vehicles using the detected object data, determining whether the motorcycle is located in the blind spot region, and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle when the motorcycle is determined to be located in the blind spot region.

Abstract: A vehicle sharing system for use with a vehicle. The vehicle sharing system comprises: i) a lockbox mounted on an exterior of the vehicle, the lockbox including a vehicle key that opens a door of the vehicle; and ii) a vehicle sharing control module disposed in the interior of the vehicle. The vehicle sharing control module communicates with the lockbox in order to open a door associated with the lockbox in response to a first command message received from a mobile device associated with a user. The lockbox is mounted on a license plate holder of the vehicle and the license plate is mounted on the door of the lockbox.

Abstract: A system and method of monitoring a vehicle during a peer-to-peer (P2P) reservation of the vehicle, wherein the vehicle is a part of a P2P vehicle sharing network, the method including: establishing a vehicle reservation between a vehicle renter and a vehicle manager; sending an indication to the vehicle of the vehicle reservation; after sending the indication to the vehicle of the vehicle reservation, receiving vehicle monitoring information that includes information used to determine a quality of care of the vehicle renter during the vehicle reservation; and generating reporting information based on the vehicle monitoring information, wherein the reporting information reflects the quality of care of the vehicle renter during the reservation.

Abstract: A flexible vehicle sharing module of a vehicle is provided. The flexible vehicle sharing module includes a controller area network interface adapter that identifies the vehicle. The flexible vehicle sharing module also includes a cybersecurity software firewall module and a key fob board. The cybersecurity software firewall module establishes a software firewall that monitors and controls incoming data communications to the flexible vehicle sharing module. The key fob board includes a circuit board for managing input/output signals respective to key fob commands. The flexible vehicle sharing module includes a cryptographic module that performs hashing, signing, and secure storage of messages to the vehicle.

Abstract: A smoke detection system for an interior of a vehicle is provided. The smoke detection system includes a detection module and a reporting module. The detection module, while the vehicle is being used as part of a car sharing or ride sharing service: receives a sensor signal from a smoke detector; compares data included in the sensor signal to smoke characteristic or smoke pattern data; based on the comparison, determines whether an occupant of the vehicle is smoking; and generates an alert signal if the occupant is smoking. The reporting module at least one of: based on the alert signal, visually or audibly provides a warning to the occupant to stop smoking; transmits the alert signal to a mobile device of the occupant to indicate that a smoking event has been detected; or transmits the alert signal to a network device of a service provider to report the smoking event.

Abstract: A method for capturing video and/or images for a mapping system includes, in a vehicle, wirelessly receiving a request from a remote server for videos and/or images. The request specifies a location and a heading for the videos and/or images. The method includes comparing a vehicle location and a vehicle heading to the location and heading of the request. If a match occurs, recording a video and/or an image corresponding to the location and heading and uploading the video and/or image to the remote server.

Abstract: A system for authorizing temporary access and operation of a vehicle via a mobile computing device, the system includes a processor and a memory device. The system also includes a SRWC module configured to communicate with the mobile computing device; and a CNG module being in communication with the SRWC module, the CNG module includes a NAD, configured to communicate with one or more remote entities over a wireless carrier system; a GPS module, configured to generate vehicle position information and communicate that position data to the one or more remote entities; a CGM, configured to monitor and control incoming communications from the SRWC module, NAD, and GPS module. The CGM further configured to establish communications across a CAN; and a CMS, configured to encrypt the communications established by CGM as well as store the communications in the memory device.