Abstract: An autonomous vehicle (AV) implements a health protocol that may reduce pathogen transmission between users of the AV. The AV is equipped with a thermal sensor that captures a body temperature of a user. The AV compares the user's temperature to a threshold temperature, and if the user's temperature exceeds the threshold temperature, the AV performs checks to ensure that the user's planned trip follows current regulations or recommendations. For example, the AV confirms that the user is traveling between the user's home and a healthcare facility. If the trip is permitted, the AV enables the user to enter the AV. The AV may include a disinfectant system for disinfecting the passenger compartment or surfaces after the user exits the AV.

Abstract: Systems and methods are provided for temperature regulation in an autonomous vehicle. In particular, systems and methods are provided for regulating the interior temperature of a delivery container in an autonomous vehicle. In various implementations, the delivery container includes one or more compartments, and a thermal management system is provided for regulating the temperature of each of the compartments.

Abstract: A method for generating shard data from a geographical area split into sections is proposed. The method uses data representative of a geographical area that is split into sections and data representative of semantic objects located in the geographical area. For each of the sections, semantic objects are searched that are located at least partly in a section. A shard data entry of the shard data is generated. The shard data entry includes one or more semantic objects found by the searching.

Abstract: Various technologies described herein pertain to routing an autonomous vehicle based upon risk of takeover of the autonomous vehicle by a human operator. A computing system receives an origin location and a destination location of the autonomous vehicle. The computing system identifies a route for the autonomous vehicle to follow from the origin location to the destination location based upon output of a computer-implemented model. The computer-implemented model is generated based upon labeled data indicative of instances in which autonomous vehicles are observed to transition from operating autonomously to operating based upon conduction by human operators while the autonomous vehicles are executing predefined maneuvers. The computer-implemented model takes, as input, an indication of a maneuver in the predefined maneuvers that is performed by the autonomous vehicle when the autonomous vehicle follows a candidate route.

Abstract: The subject disclosure relates to techniques for adjusting an exposure setting. A process of the disclosed technology can include steps for determining a localization parameter of an autonomous vehicle, the localization parameter including a geographic position of the autonomous vehicle, determining a region of interest based on the localization parameter of the autonomous vehicle, receiving a first image including the region of interest based on the localization parameter of the autonomous vehicle, determining an exposure setting for the region of interest in the first image, and adjusting an exposure setting of the first image to the exposure setting for the region of interest in the first image. Systems and machine-readable media are also provided.

Abstract: Technologies for providing augmented reality wayfinding experiences in ridesharing applications are provided. In some examples, a method for providing augmented reality wayfinding experiences can include determining a first location of an autonomous vehicle (AV) relative to a second location of a client device associated with a user that requested a ride from the AV; based on the first location of the AV relative to the second location of the client device, determining a direction from the second location of the client device to the first location of the AV; presenting, at the client device, a feed from a camera sensor associated with the client device, the feed including a local scene captured by the camera sensor; and presenting a virtual content overlay on the feed, the virtual content overlay including an indication of the direction from the second location of the client device to the first location of the AV.

Abstract: The disclosed technology provides solutions for improving passenger drop-off functions implemented by an autonomous vehicle (AV). In some implementations, a process of the disclosed technology can include steps for collecting environmental data about an environment around an autonomous vehicle, wherein the environmental data comprises data pertaining to a roadway navigated by the autonomous vehicle, processing the environmental data to generate an area grid comprising a plurality of grid sections, and associating, based on the environmental data, one or more features with each of the plurality of grid sections. Systems and machine-readable media are also provided.

Abstract: The present technology is effective to cause at least one processor to receive attributes of a sidewalk section within a threshold distance from a location selected by a passenger, determine a potential location for pick-up or drop-off of the passenger by the autonomous vehicle, receive an authorization from the passenger, and navigate the autonomous vehicle to the potential location for pick-up or drop-off. The attributes may include a respective curb height of the sidewalk section within the threshold distance. The potential location may be determined based upon a height of a portion of an autonomous vehicle and the respective curb height of the sidewalk section within the threshold distance. The authorization may confirm the potential location for pick-up or drop-off.

Abstract: Systems and methods are provided for long distance trips in an autonomous vehicle fleet. In particular, systems and methods are provided for autonomous vehicle trips that are a longer distance than a vehicle can travel without recharging. In some implementations, a user is provided an option between stopping to recharge the autonomous vehicle and switching from a first autonomous vehicle to a second autonomous vehicle at a selected stopping location.

Abstract: The subject disclosure relates to ways to improve route duration calculations e.g., estimated time of arrival (ETA) approximations, by taking consideration of reroute probabilities along a given vehicle path. In some aspects, the disclosed technology encompasses a process including steps for identifying a route between a first destination to a second destination, determining a reroute likelihood associated with at least one AV maneuver along the route, and calculating an estimated time of arrival (ETA) based on the reroute likelihood associated with at least one AV maneuver. Systems and machine-readable media are also provided.

Abstract: A method for providing a reference prior for a portion of a route to a planning stack of a vehicle. The method includes accessing manual driving data associated with the route portion, the manual driving data stored in a database; averaging the accessed manual driving data to determine a nominal path for the route portion; and providing the nominal path to the planning stack of the vehicle as the reference prior for the route portion, wherein the planning stack consumes the reference prior for planning maneuvers of the vehicle in traversing the route portion.

Abstract: Systems and methods for measuring autonomous vehicle (AV) capabilities in a simulation environment are provided. A method includes selecting, by a computer-implemented system, a first plurality of sampling points in an N-dimensional parameter space associated with a vehicle capability test, classifying, by the computer-implemented system, each sampling point of the first plurality of sampling points into a first class based on a vehicle passing a test scenario associated with the respective sampling point; or a second class based on the vehicle failing the test scenario associated with the respective sampling point; and determining, by the computer-implemented system based on the classifying, a capability of the vehicle. The classifying can include computing a first hyperplane in the N-dimensional parameter space to separate the first plurality of sampling points into the first class and the second class.

Abstract: Examples of the present disclosure provide an apparatus comprising: a wiper assembly and a sensor assembly. The wiper assembly may include: a linkage assembly; a wiper blade removably attached to the linkage assembly; and a actuator coupled to the linkage assembly and configured to enable rotation of the linkage assembly around a shaft. The sensor assembly may include: a plurality of optical sensors arranged along a linear axis; and a window between the plurality of optical sensors and the wiper assembly. The wiper blade is longitudinally oriented parallel to the linear axis, and the wiper blade is configured to translate in a direction perpendicular to the linear axis while maintaining contact with the window during translation.

Abstract: Particular embodiments described herein provide for a system and method to help prevent condensation inside an enclosure that includes an electronic system. The system and method can determine a current relative humidity of an environment inside an enclosure that houses the electronic system, use the current relative humidity and the current maximum temperature to determine a dew point for the environment inside the enclosure, activate one or more heating elements inside the enclosure when the current minimum temperature is the same or lower than the dew point for the environment inside the enclosure, activate one or more embedded fans, and open one or more vents to help purge moisture out of the system during heating. When the current minimum temperature is higher than the dew point for the environment inside the enclosure, the system and method can allow the electronic system to power on.

Abstract: Sensors on autonomous vehicles offer data that can be used to track and recognize rider achievement. Digital tokens can be output to users on a user device to provide feedback to the user in real-time. To determine an appropriate digital token, data specific to the user can be matched against a template or checked against a threshold. A digital token corresponding to a matched template or a crossed threshold can be then retrieved or generated. In some cases, the data specific to the user is used to determine whether the user matches a pattern. A user can accrue a collection of digital tokens on the user device.

Abstract: Technologies for steering sensors in a sensor carrier structure on an autonomous vehicle (AV) are described herein. In some examples, a sensor positioning platform on an AV can include an actuator system including a motor configured to move and reposition a sensor carrier structure having a plurality of sensors; a motor controller configured to receive instructions for controlling the motor to reposition the sensor carrier structure and, based on the instructions, send to the motor control signals configured to control the motor to reposition the sensor carrier structure; one or more hoses arranged within tubes mounted to a portion of the actuator system and configured to output sensor cleaning substances through a thru-bore on the actuator system; and one or more cleaning systems configured to receive the sensor cleaning substances and spray the sensor cleaning substances on one or more sensors on the sensor carrier structure.

Abstract: Fluid cleaning systems for cleaning AV sensors are disclosed herein. An example fluid cleaning system includes a reservoir storing a fluid. The fluid can flow from the reservoir to a heat exchanger. The heat exchanger can transfer heat generated by a part of the AV to the fluid, thereby improving cleaning efficacy. The part may be battery, motor, engine, sensor (e.g., the sensor to be cleaned with the fluid or another sensor), etc. The heat may be an unintended product of an operation of the part. The heat exchanger can use the heat to warm up the fluid and cool down the part. Additionally or alternatively, the fluid can be heated by another heat exchanger or a heater. The heater can generate heat intended for heating the fluid. The heater may be local to the sensor to be cleaned, e.g., the heater is closer to the sensor than the reservoir.

Abstract: There is disclosed an autonomous vehicle (AV), including an AV chassis comprising a drive system and a cabin comprising a plurality of cabin controls; an AV controller, including a processor circuit and a memory, wherein the memory includes instructions to instruct the processor circuit to operate the drive system in a fully autonomous configuration; actuators to electronically operate the cabin controls; a communication circuit with wireless communication capability; and instructions encoded within the memory to further instruct the processor circuit to: receive a remote cabin control command; and in response to the remote cabin control command, operate a cabin control.

Abstract: A methodology is described for determining a time for responding to an initial encounter by a vehicle with a map error in a map segment, wherein the initial encounter is detected by a detector. A method includes identifying an error type associated with the map error, wherein the error type is one of a first error type and a second error type; determining at least one additional factor associated with the initial encounter; determining a response time for the map error based on the error type and the at least one additional factor; and initiating a mitigating action in response to the initial encounter within the response time, wherein the response time comprises an amount of time from the initial encounter with the map error to a time at which a mitigating action should be taken.

Abstract: A light inspection system positions an autonomous vehicle (AV) in a field of view of a camera such that the camera captures an image of a light of the AV. The light inspection system instructs a camera to capture an image of the light while the light is switched on. The light inspection system receives the captured image, determines a luminance of the light based on the image, and determines to service the light in response to the luminance of the light being below a threshold luminance.