Disclosed are systems and methods relating to providing corridor metrics based on road network data and telematic data.

Disclosed are systems and methods relating to providing corridor metrics based on road network data and telematic data.

The invention discloses a method, system and related device of implementing vehicle automatic loading and unloading, so as to achieve the automatic loading and unloading of the unmanned vehicle. The method includes: controlling, by a vehicle controller, a vehicle to drive automatically and stop at a loading and unloading position; obtaining, by a loading and unloading control apparatus corresponding to the loading and unloading position, vehicle identification information of the vehicle; verifying the vehicle identification information and controlling a loading and unloading machine to load and unload when the verification succeeds; sending a loading and unloading completion indication to the vehicle controller after the loading and unloading is completed; and controlling, by the vehicle controller, the vehicle to leave the loading and unloading position when receiving the loading and unloading completion indication.

A replanned plan output device that outputs a replanned plan for an operation plan of performing planned schedules in order by an operation of a vehicle in charge, includes: a replanned candidate determination unit configured to, when a difficult-to-perform schedule that becomes difficult to be performed by the vehicle in charge among the planned schedules occurs, determine another vehicle as a candidate for a substitute vehicle for performing the difficult-to-perform schedule; and a substitute vehicle selection unit configured to, when a plurality of candidates for the substitute vehicle are set, select the substitute vehicle for performing the difficult-to-perform schedule from the plurality of candidates for the substitute vehicle in consideration of the number of changes of the vehicle in charge and an additional cost of each of the schedules specified in the operation plan.

Disclosed are systems, methods, and non-transitory computer-readable media for automated fleet tracking. A route management system enables fleet managers to define and assign routes for vehicles in a fleet, as well as set route tracking configurations for customized tracking of the vehicles. For example, the route tracking configuration may include customizations to the scheduled start and/or end time of a route, a threshold for determining that a vehicle has arrived and/or departed from a scheduled stop, and the like.

Systems and methods for crash determination in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle telematics device includes a processor and a memory storing a crash determination application, wherein the processor, on reading the crash determination application, is directed to obtain sensor data from at least one sensor installed in a vehicle, calculate peak resultant data based on the sensor data, where the peak resultant data describes the acceleration of the vehicle over a first time period, generate crash score data based on the peak resultant data and a set of crash curve data for the vehicle, where the crash score data describes the likelihood that the vehicle was involved in a crash based on the characteristics of the vehicle and the sensor data, and provide the obtained sensor data when the crash score data exceeds a crash threshold to a remote server system.

An information processing apparatus according to the present disclosure includes a controller configured to execute acquiring operation information for a network-connected home appliance that is home electronic equipment which is provided in a dwelling house, and is configured to be accessible to a prescribed network and is capable of being controlled via the network, making an estimation as to entering/exiting of a vehicle utilized by a user of the dwelling house into/from a parking lot associated with the dwelling house on the basis of the operation information for the network-connected home appliance in the dwelling house, and issuing, to a management apparatus that manages entering/exiting of the vehicle, an enter/exit instruction for causing the vehicle to enter or exit if entering/exiting of the vehicle into/from the parking lot is estimated.

Techniques to predict object behavior in an environment are discussed herein. For example, such techniques may include determining a trajectory of the object, determining an intent of the trajectory, and sending the trajectory and the intent to a vehicle computing system to control an autonomous vehicle. The vehicle computing system may implement a machine learned model to process data such as sensor data and map data. The machine learned model can associate different intentions of an object in an environment with different trajectories. A vehicle, such as an autonomous vehicle, can be controlled to traverse an environment based on object's intentions and trajectories.

A method includes receiving vehicle data indicative of a least one operating characteristic of one or more vehicles and one or more fault codes from the one or more vehicles, each of the one or more fault codes having a corresponding component; aggregating the one or more fault codes based on the corresponding components of the one or more fault codes; interpreting the vehicle data and the one or more fault codes to determine a potential root cause for the one or more fault codes by comparing vehicle data of a first vehicle of the one or more vehicles to the vehicle data of the one or more vehicles; and providing a graphical user interface to a display device for depicting the one or more fault codes based on the potential root cause.

Example embodiments relate to identification of proxy calibration targets for a fleet of sensors. An example method includes collecting, using a sensor coupled to a vehicle, data about one or more objects within an environment of the vehicle. The sensor has been calibrated using a ground-truth calibration target. The method also includes identifying, based on the collected data, at least one candidate object, from among the one or more objects, to be used as a proxy calibration target for other sensors coupled to vehicles within a fleet of vehicles. Further, the method includes providing, by the vehicle, data about the candidate object for use by one or more vehicles within the fleet of vehicles.