Abstract: Embodiments provide techniques, including systems and methods, for locating and navigating to the location of a requestor based on proximity between a requestor device and a provider device. For example, embodiments display proximity indicators to allow a provider to quickly, easily, and safely locate a requestor upon arrival near a request location. Further, in some embodiments, graphics associated with a proximity vector may be presented on a provider communication device to clearly display the navigation directions to the provider so that the provider may easily find their matched requestor without requiring additional communication between the provider and the requestor. Additionally, embodiments provide efficient navigation to riders by limiting display of proximity indicators for navigation until the provider is within a threshold distance to the request location to conserve system resources and communication between an on-demand matching system and the provider computing device.

Abstract: Systems, methods, and non-transitory computer-readable media can determine sensor data captured by at least one sensor of a vehicle while navigating a road segment. A plurality of features describing the road segment can be extracted from the sensor data. A map representation of the road segment can be determined based at least in part on the sensor data and the plurality of features extracted from the sensor data, the map representation being determined as the vehicle navigates the road segment. While the map representation of the road segment is being determined, at least one scenario associated with the road segment can be determined based at least in part on the map representation and the plurality of features extracted from the sensor data.

Abstract: In one embodiment, a method includes receiving sensor data corresponding to an environment external of a vehicle. The sensor data include data points. The method includes determining one or more subsets of the data points. The method includes comparing the one or more subsets of the data points to one or more predetermined data patterns. Each of the one or more predetermined data patterns corresponds to an object classification. The method includes computing a confidence score for each subset of data points of the one or more subsets of the data points as corresponding to each of the one or more predetermined data patterns based on the comparison. The method includes generating a classification for an object in the environment external of the vehicle based on the confidence score.

Abstract: Systems, methods, and non-transitory computer-readable media can receive transportation information associated with a transportation request, the transportation information comprising a pick up location and a drop off location. A first route associated with the transportation request and a non-autonomous vehicle can be determined. A second route associated with the transportation request and an autonomous vehicle can be determined based on an operating design domain (ODD) associated with one or more autonomous vehicles in a fleet of vehicles. At least one performance metric associated with the second route can be determined. The second route can be selected based at least in part on the at least one performance metric and a comparison of the first route and the second route. An autonomous vehicle from the fleet of vehicles can be assigned to the transportation request based on selection of the second route.

Abstract: Systems, methods, and non-transitory computer-readable media can access a plurality of parameter-based encodings providing a structured representation of an environment captured by one or more sensors associated with a plurality of vehicles traveling through the environment. A given parameter-based encoding of the environment identifies one or more agents that were detected by a vehicle within the environment and respective location information for the one or more agents within the environment. The plurality of parameter-based encodings can be clustered into one or more clusters of parameter-based encodings. At least one scenario associated with the environment can be determined based at least in part on the one or more clusters of parameter-based encodings.

Abstract: A method implemented by one or more processors includes receiving vehicle data associated with an operation of a micromobility vehicle, and determining, based on the vehicle data, a braking action to be performed by the micromobility vehicle. The braking action is configured to effect the operation of the micromobility vehicle. The method further includes identifying, based at least in part on one or more components of a powertrain of the micromobility vehicle, one or more authentication identifiers associated with a secured functionality of the one or more components of the powertrain, and in response to determining that the one or more authentication identifiers satisfies a predetermined condition, causing the micromobility vehicle to perform the braking action.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for receiving and integrating vehicle data for a fleet of different types of rental vehicles from across different databases to generate vehicle-data summaries for such rental vehicles—as well as for surfacing tools for dispatch, service, and other vehicle managing functions. In some cases, the disclosed systems further identifies and integrates service data from vehicle service centers associated with the rental vehicles into a central database and into the vehicle-data summaries. Such a fleet of rental vehicles can include personal-rental vehicles, provider-rental vehicles—such as express-provider-rental vehicles and flexible-provider-rental vehicles—as well as third-party-rental vehicles.

Abstract: Techniques are disclosed for systems and methods associated with free lock detection of a micromobility vehicle. Data from one or more sensors of the micromobility vehicle may be received and compared to a threshold stored or determined for the micromobility vehicle. Based on the comparing, an indication of free locking the micromobility vehicle may be determined and one or more notifications of the indication may be generated and sent for display on a mobile device. A parking condition of the micromobility vehicle may also be determined, such as utilizing image data of the micromobility vehicle. The image data may be analyzed to determine whether the micromobility vehicle is parked within a designated parking area distinguished through distinct coloring, patterns, signs, placards, markers, or images.

Abstract: Embodiments provide techniques, including systems and methods, for identifying and matching requestors and providers. For example, embodiments can display an identification pattern that is unique for a matched requestor and provider to allow the providers and requestors to quickly, easily, and accurately validate one another's identities prior to a service being provided. In some embodiments, the identification element may be presented on a provider communication device to clearly display graphics associated with an identification element to all requestors in an area so that the requestors may easily identify a matched provider.

Abstract: This disclosure covers computer-implemented methods, non-transitory computer readable media, and systems that efficiently determine and present real-time (or near-real time) trending destination locations in a graphical user interface of a requester device based on transportation requests or other transportation data tracked for a geographic region. For example, the disclosed systems identify destination locations from within a geographic region of a particular requester by analyzing transportation requests received within a threshold time period of a requester's current reference time. The disclosed systems dynamically determine a set of trending destination locations from the destination locations based on such transportation requests to the destination locations within the threshold time period.

Abstract: A method includes transmitting, by a user device associated with a user to a transportation service provider, a request for a service comprising entry into a controlled area associated with the service. The method further includes receiving, by the user device from the transportation service provider, a token to allow the user device to connect with the service and to allow entry into the controlled area associated with the service. The method further includes transmitting, by the user device to a security device associated with the transportation service provider, the token. The security device restricts access to the controlled area associated with the service. The method further includes receiving, by the user device from the security device responsive to the transmitting of the token, the access to the controlled area associated with the service.

Abstract: Systems and methods related to docking stations for accommodating multiple types of micromobility vehicles, for interacting with different users, and for operating securely under low-power constraints are disclosed. A low-power docking station may include a housing having walls defining a vehicle opening, and a latching receiver to engage with a latching mount of the micromobility vehicle when it is positioned in the vehicle opening. The docking station can further include a movable hook having a retention feature and a movable latch having a latching protrusion and a receiving feature. The receiving feature can be configured to receive the latching mount when the latching mount is advanced into the receiving feature, and in response to the receiving feature receiving the latching mount, the movable latch can move such that the latching protrusion of the movable latch is retained by the retention feature of the movable hook.

Abstract: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to disclosed embodiments, a transportation matching system receives a session indicator and device-based location. The system utilizes the received request and device-based location to identify and analyze historical transportation matching system information. The system then generates a confidence score based on this information that indicates a level of confidence that the device-based location is a pickup location associated with the request. If the generated confidence score exceeds a predetermined threshold, the system provides display components to a requestor computing device that enable confirmation of the transportation request with a single user interaction.

Abstract: In one embodiment, a method includes determining a status of one or more docking stations within a predetermined distance from a destination location for a user, sending instructions to display the status of the one or more docking stations, receiving a destination docking station selected by the user from the one or more docking stations, determining a docking availability at the destination docking station based on pairing statuses between the destination docking station and one or more micromobility transit vehicles docked at the destination docking station, updating the status of the destination docking station based at least on the docking availability, and sending instructions to display the updated status of the destination docking station while the user is enroute to the destination docking station.

Abstract: The disclosed computer-implemented method may include using location data from multiple devices improve the accuracy of location estimates for a rideable vehicle and/or provide calibration for location information. In some examples, at the end of a ride the system may record the location of the rider's device to augment the location data from the rideable vehicle. In another example, when a batch of rideable vehicles are delivered to a location, the system may use the location of the operator's device and/or the locations of other rideable vehicles in the batch to increase the accuracy of data for the location of any given rideable vehicle. In some embodiments, the system may detect the number of functioning location sensors to determine the confidence in the location of the vehicle. This confidence information can then be used in network decisions such as matching. Various other methods, systems, and computer-readable media are also disclosed.