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: The disclosed computer-implemented method may match transportation requestor devices to transportation provider devices pre-request by using the same matching process employed by a matching engine that is capable of predicting transportation swaps and walks. Multiple matches may be showcased on user devices, and offline transportation providers may see an exact match to a requestor, with an ability to go online and accept the pre-request match. Additional techniques disclosed include the curation and presentation of offers using constraint space partitioning and adjustment of price and/or the presentation of offers based on real-time information to improve the efficiency and/or utilization of transportation provider resources.

Abstract: Systems, methods, and non-transitory computer-readable media can be configured to determine a targeted scenario and a mission associated with the targeted scenario. A route to a location associated with the mission can be determined based at least in part on a likelihood of encountering the targeted scenario, wherein the likelihood of encountering the targeted scenario is based at least in part on a frequency with which scenarios similar to the targeted scenario were encountered at the location. Whether the targeted scenario was encountered can be determined based on an evaluation of captured sensor data associated with the mission upon passing the location.

Abstract: The present disclosure is directed toward systems and methods for an augmented reality transportation system. For example, the systems and methods described herein present an augmented reality environment for a driver or a passenger including augmented reality elements to mark specific locations within a display of real-world surroundings. Additionally, the systems and methods described herein analyze historical information to determine placements for augmented reality elements. The systems and methods also enable a user to share an augmented reality or virtual reality environment with another user.

Abstract: A micromobility transit vehicle may include a steering assembly. The steering assembly may include a fork, a steer tube, a stiffening brace, and a stem. The steer tube may extend from the fork and be positioned to rotate within a headtube. The stiffening brace may extend from the fork and be positioned about the headtube. The stiffening brace may include a first engagement surface. The stem may be coupled to the steer tube and the stiffening brace to secure the steering assembly to the headtube. The stem may include a second engagement surface complementary to the first engagement surface and engaged with the first engagement surface to rotationally lock the stem and stiffening brace together.

Abstract: In one embodiment a transportation request is received from a computing device of a first subscriber to a transportation service. It is determined that the transportation request is authorized by a second subscriber to the transportation service. One or more details associated with the transportation request and location information of the computing device of the first subscriber are communicated to a computing device of a driver associated with the transportation service to allow the driver to fulfill the transportation request.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and client devices that automatically initiate a wireless network connection (e.g., a pairing) with an auxiliary computing device based on recurring detection of a wireless broadcast signal from the auxiliary computing device. Upon detecting a wireless broadcast signal for an auxiliary computing device satisfying a signal-strength threshold at multiple times or locations, for example, the disclosed client devices can automatically initiate a wireless network connection (e.g., a pairing) with the auxiliary computing device. By automatically initiating a wireless connection with such an auxiliary computing device, the disclosed client devices obviate inefficient user interactions conventional computing devices use to establish a pairing, facilitate pairings with auxiliary computing devices for unsavvy technology users, and avoid unsecure wireless connections that may compromise data on the disclosed provider client devices.

Abstract: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to the disclosed embodiments, the transportation matching system utilizes an image-based transportation request interface and environmental digital image stream to efficiently generate transportation requests with accurate pickup locations. For instance, the disclosed system can utilize one or more environmental digital images provided from a requestor computing device (e.g., a mobile device or an augmented reality wearable device) to determine information such as the location of the requestor computing device and a transportation pickup location within the environmental digital images. Furthermore, the disclosed system can provide, for display on the requestor computing device, one or more augmented reality elements at the transportation pickup location within an environmental scene that includes the transportation pickup location.

Abstract: In one embodiment, a method includes receiving a ride request from a user computing device associated with a user, wherein the ride request requests a user pick-up at a geographic location, determining one or more preferred items of the user, identifying, from a group of vehicles located in the geographic location, a vehicle that comprises an in-vehicle vending apparatus with an inventory that includes one or more of the preferred items of the user, and sending an instruction to a computing device of the vehicle for traveling to the geographic location for the user pick-up.

Abstract: Disclosed is a method for identifying, in real time, a transportation arrangement between a requestor and a provider that could benefit from a re-matching of the requestor with another provider. A system may match a provider with a requestor to complete a request for transportation from the requestor. The system may monitor a progress of the provider to a pickup location as specified in the request. Based on the monitored progress, the system may determine if the provider is making sufficient progress towards the pickup location. In some examples, the system may determine that the matching of the provider with the requestor is eligible for cancellation because the provider is not making sufficient progress towards the pickup location. The system may cancel the matching and then match another provider with the requestor to continue to make progress towards completing the transportation request.

Abstract: The disclosed computer-implemented method may include identifying a transportation task within a dynamic transportation network, accessing a database of door closing event locations, wherein the database is populated from observed door closing events within the dynamic transportation network, determining location information specifying at least one of a pickup location and a drop-off location for the transportation task based at least in part on the database of door closing event locations, and providing the location information to a transportation provider computing device, wherein a transportation provider performs the transportation task that comprises at least one of picking up a transportation requestor at the pickup location and dropping off the transportation requestor at the drop-off location. Other methods, systems, and computer-readable media are disclosed.

Abstract: In one or more embodiments, one or more systems, methods, and/or processes may determine that a first vehicle is unsafe to continue navigating to the drop-off location while the first vehicle is traveling en-route to transport one or more passengers to a drop-off location. Based on this determination, an intermediate area for the one or more passengers to be dropped off by the first vehicle and picked up by a second vehicle is determined. Instructions are then provided to the first vehicle to cause the first vehicle to navigate to the intermediate area. Further, instructions are provided to the second vehicle to navigate at least in proximity to the intermediate area to pick up the one or more passengers, and navigate to the drop-off location after picking up the one or more passengers.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently identifying upload trigger events and/or storage trigger events to selectively store a media recording portion at an in-cabin media capture device and/or transmit the media recording portion to a remote server. For example, utilizing a trigger analysis model, the disclosed systems can analyze transportation service data such as motion data, global position system (GPS) data, audio data, digital incident reports from provider/requestor devices, etc. to identify certain trigger events. These trigger events may include, for instance, a collision event, a transportation irregularity, a confrontation event, provider/requestor media recording requests, among others.

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: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to disclosed embodiments, a transportation matching system trains a predictive request model to generate a metric predicted to trigger an increase in transportation provider activity within the geographic area for a given time period. Furthermore, the system determines a predicted gap between expected request activity and expected transportation provider activity for the geographic area during a future time period, utilizes the predictive request model and the predicted gap to generate a metric for the geographic area, and generates an interactive map associated with a customized schedule for the geographic area and the future time period based on the generated metric.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently restricting transportation changes based on signals in a dynamic transportation matching system. For example, the disclosed systems can analyze signals associated with transportation of a requestor by a vehicle of a provider to determine whether a transportation-change request is indicated. In response to determining that a transportation-change request is indicated, the disclosed systems can prevent a transportation change to a destination, route, or waypoint and generate a restriction notification. The disclosed system can also provide the restriction notification to at least a provider client device in response to determining that it is safe to do so.

Abstract: In one embodiment, a method includes, receiving a first set of positional parameters for movement of a vehicle through an environment captured by a first sensor associated with the vehicle. The method includes receiving a second set of positional parameters for movement of the vehicle through the environment captured by a second sensor associated with the vehicle. The method includes calculating an angular offset between the first set of positional parameters and the second set of positional parameters based on comparing the first set of positional parameters to the second set of positional parameters. The method includes determining a calibration factor based on the calculated angular offset. The method includes calibrating at least one of the first sensor or the second sensor by using the calibration factor.

Abstract: A system and method are disclosed wherein a risk score is generated by interrogating multiple sources of information across a network. The information is aggregated, such that every network action for individuals and organizations are turned into a unique behavioral model, which can be used as a unique identifier (“fingerprint”). This fingerprint is in turn used by a personalized Trust Guardian System to block, modify and/or allow network actions.

Abstract: Examples disclosed herein may involve a computing system that is configured to (i) obtain previously-derived perception data for a collection of sensor data including a sequence of frames observed by a vehicle within one or more scenes, where the previously-derived perception data includes a respective set of object-level information for each of a plurality of objects detected within the sequence of frames, (ii) derive supplemental object-level information for at least one object detected within the sequence of frames that adds to the previously-derived object-level information for the at least one object, (iii) augment the previously-derived perception data to include the supplemental object-level information for the at least one object, and (iv) store the augmented perception data in an arrangement that encodes a hierarchical relationship between the plurality of objects, the sequence of frames, and the one or more scenes.