Abstract: A telematics system for a vehicle includes a vehicle processor for storing data including vehicle location, vehicle data, and environmental data. The telematics system also includes a server communicatively coupled to the vehicle processor and configured to determine a range remaining for the vehicle. In some examples, the range remaining is based on vehicle data and environmental conditions.

Abstract: A method and system for assisting a vehicle when traveling within an area experiencing a meteorological event capable of potentially flooding a roadway is disclosed. The assistance may include determining a water level over top of the roadway, determining a plurality of surface water related operating parameters for the vehicle, and comparing the water level to the surface water related operating parameters to generate a flooded roadway assessment. The flooded roadway assessment may be used for determining the roadway to be in one of a passable state and an impassable state for the vehicle. Based thereon, a flooded roadway command may be generated for correspondingly controlling one or more systems onboard the vehicle.

Abstract: A protective enclosure for an electronic control unit (ECU) to minimize risk of environmental intrusion includes a base portion, a first housing, a second housing, a first gasket, a vibration attenuating insert, a first electrical connector, a second electrical connector, a third electrical connector, and a tether. The first housing is sealably assembled onto the base portion, and the first housing and the base portion define a first chamber to house the telematics module. The second housing and the base portion define a second chamber. The tether attaches the base portion and the second housing.

Abstract: A protective enclosure for an electronic control unit (ECU) to minimize risk of environmental intrusion includes a base portion, a first housing, a second housing, a first gasket, a vibration attenuating insert, a first electrical connector, a second electrical connector, a third electrical connector, and a tether. The first housing is sealably assembled onto the base portion, and the first housing and the base portion define a first chamber to house the telematics module. The second housing and the base portion define a second chamber. The tether attaches the base portion and the second housing.

Abstract: A method and system for assisting a vehicle when traveling within an area experiencing a meteorological event capable of potentially flooding a roadway is disclosed. The assistance may include determining a water level over top of the roadway, determining a plurality of surface water related operating parameters for the vehicle, and comparing the water level to the surface water related operating parameters to generate a flooded roadway assessment. The flooded roadway assessment may be used for determining the roadway to be in one of a passable state and an impassable state for the vehicle. Based thereon, a flooded roadway command may be generated for correspondingly controlling one or more systems onboard the 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: 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, 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 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: 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, 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 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.