Abstract: A method of detecting an object in a path of an vehicle using a LiDAR system includes emitting a LiDAR signal with the LiDAR system; receiving the LiDAR signal with the LiDAR system; determining a glancing angle distance; determining the LiDAR signal is received from beyond the glancing angle distance based on receipt of the LiDAR signal; and classifying the LiDAR signal as a return from an object based at least in part on the LiDAR signal coming from a distance beyond the glancing angle distance.

Abstract: A system for vehicle route planning is provided. The system includes a database configured to electronically store crime data, and a route planning unit configured to generate a route for a vehicle. The system includes a processing device configured to execute instructions stored in a memory to perform operations including receiving as input at the route planning unit a starting location for the vehicle and an ending location for the vehicle. The operations include analyzing the crime data to determine instances of crime occurring between the starting location and the ending location. The system includes generating a planned route for the vehicle from the starting location to the ending location based on the analyzed crime data.

Abstract: Systems and methods of automatic correction of map data for autonomous vehicle navigation are disclosed. An autonomous vehicle system can receive first sensor data from a first sensor of an autonomous vehicle and second sensor data from a second sensor of the autonomous vehicle, the first sensor data and the second sensor data captured during operation of the autonomous vehicle; generate, based on the first sensor data, a first prediction of a dimension of a lane of a road; generate, based on the second sensor data, a second prediction of a position of the autonomous vehicle within the lane of the road; determine a confidence value for the second prediction of the position of the autonomous vehicle within the lane of the road based on the first prediction and the second prediction; and navigate the autonomous vehicle based on the confidence value.

Abstract: An autonomous vehicle comprises a sensor and one or more processors. The one or more processors can be configured to receive a set of object location data from the sensor, the set of object location data indicating an object; generate a measured representation of the object based on the set of object location data; execute a tracking protocol using data of the measured representation of the object as input to generate a virtual representation of the object, the virtual representation of the object comprising a virtual point that is nearest to a defined location of the autonomous vehicle; and translate the virtual point of the virtual representation of the object to a measured point of the measured representation of the object.

Abstract: A system includes at least one processor configured to: (i) determining a first distance between a center point of a wheel of an unloaded vehicle and a chassis spring of the vehicle based on first sensor data of the first set of plurality of image sensors; (ii) determining a second distance between the center point and the chassis spring for the loaded vehicle based on second sensor data of the first set of plurality of image sensors; (iii) based upon a difference between the first distance and the second distance, and characteristics of the chassis spring, determining a load at each wheel for determining a total mass of the vehicle and a first coordinates of a center of gravity of the vehicle along a longitudinal axis and a lateral axis with respect to a front axle of the vehicle.

Abstract: A system for sensor calibration is provided. The system includes a processor in communication with a memory device and a plurality of LiDAR sensors of an autonomous vehicle. The processor is configured to detect, based on data received from a first LiDAR sensor of the plurality of LiDAR sensors, a relative velocity of the autonomous vehicle to a static object while the autonomous vehicle is traveling along a straight trajectory, compute, based on the relative velocity, a vector representing a velocity estimate of the autonomous vehicle, identify the first LiDAR sensor as misaligned when a lateral component of the computed vector is greater than a threshold lateral component, and store, in the memory device, a status of the first LiDAR sensor as misaligned, wherein the autonomous vehicle is controlled based in part on the status of the first LiDAR sensor.

Abstract: The disclosure relates to a protective sleeve for selectively providing a barrier between an undesirable environmental condition and a sensing device. The protective sleeve includes a sleeve body that is movable between a stowed orientation and a deployed orientation. In the deployed orientation the sleeve body produces a barrier between the environmental conditions and the sensing device. The sleeve body is movable between the stowed and deployed orientations by an actuator. The protective sleeve includes a processing system including a sensor for sensing the environmental conditions. The processing system controller and processor programmed to selectively power the actuator when an undesirable environmental condition is sensed by the sensor to move the sleeve body to the deployed orientation, and also selectively power the actuator to cause the actuator to move the sleeve body to the stowed orientation in the absence of an undesirable environmental condition.

Abstract: A system including at least one memory and at least one processor coupled to the at least one memory is disclosed. The at least one processor is configured to: receive, from a sensor on an autonomous vehicle, sensor data; receive, from a camera on the autonomous vehicle, camera data; provide a frame of the camera data overlaid with a respective frame of the sensor data to a user; receive a user annotation indicative of an actor in the frame, where the user annotation encloses a first set of points associated with the actor; generate an a virtual annotation enclosing a second set of points associated with the actor; determine that a point in the second set of points is older than a reference time; project the point to a new position based on a kinematic model; generate a temporally aggregated actor to determine a quality of the user input.

Abstract: A system for signaling intent of an autonomous vehicles. The system is comprised of a memory storing executable instructions representing a signaling display module on a trailer of an autonomous vehicle. The system also comprises a processor coupled to the memory and configured to execute the signaling display module. The processor is configured to receive data from an autonomy computing system descriptive of a condition near the autonomous vehicle, process the data to generate a message relating to the condition indicating a remedial action of the autonomous vehicle in response to the condition, and transmit the message to a signaling display on the trailer prior to executing the remedial action.

Abstract: Trailer detection is provided. A vehicle can determine a distance to a portion of the trailer from the time-of-flight sensor data. The vehicle can determine a doppler shift indicative of a speed of a wheel of a wheel assembly from the data. The vehicle can determine, based on the distance and the doppler shift, a wheelbase of the trailer.

Abstract: A system can receive audio data indicating speech from a citizens band (CB) radio channel. The system can determine a location corresponding to first information in the speech. The system can determine an event at the location based on the first information. The system can predict one or more autonomous vehicles that have a path including the location. The system can transmit second information containing the event and the location to the one or more autonomous vehicles. The second information can cause the one or more autonomous vehicles to adjust operation according to the event and the location.

Abstract: A system for collaborative blind spot mitigation is provided. The system includes a first vehicle including one or more sensors configured to provide visibility coverage around the first vehicle such that no blind spots exist in the visibility coverage. The system includes a second vehicle including one or more sensors configured to provide at least partial visibility coverage around the second vehicle. If a blind spot exists in the visibility coverage around the first vehicle upon operation failure of the one or more sensors of the first vehicle, data is collected from the one or more sensors of the second vehicle corresponding with visibility of the blind spot in the visibility coverage around the first vehicle and is used to supplement the data from the one or more sensors of the first vehicle to ensure that no blind spots exist in the visibility coverage around the first vehicle.

Abstract: Aspects of this technical solution can include obtaining, from a first vehicle at a second vehicle by a communication interface coupled with the first vehicle and the second vehicle, first data indicating a positioning of an antenna of a location sensor of the first vehicle, obtaining, from the first vehicle at the second vehicle by the communication interface, second data of the first vehicle indicating a physical location of the first vehicle, during movement of the first vehicle caused by the second vehicle, and generating, at the second vehicle during the movement of the first vehicle and based on the first data and the second data, third data corresponding to a calibration of the physical location of the first vehicle.

Abstract: The disclosed method for reporting an emergency on a roadway includes sensing, by an electronic control unit (ECU) of an autonomous vehicle, a perceived situation nearby the autonomous vehicle. The method includes determining, by the ECU, to perform an emergency stop of the autonomous vehicle when the perceived situation indicates an emergency situation. The method includes initiating an emergency stop of the autonomous vehicle. The method includes transmitting, by the ECU, an emergency report to at least one emergency service, the emergency report including autonomous vehicle information and emergency situation information.

Abstract: Aspects of this technical solution can include a method of calibration of a positioning system of a vehicle. The method can include transmitting, from a first vehicle at a second vehicle by a communication interface coupled with the first vehicle and the second vehicle, first data indicating a direction of gravity relative to a physical orientation of the first vehicle. The method can include transmitting, from the first vehicle at the second vehicle by the communication interface, second data of the first vehicle indicating the physical orientation of the first vehicle, during movement of the first vehicle caused by the second vehicle. And the method can include receiving, at the first vehicle from the second vehicle during the movement of the first vehicle and based on the first data and the second data, third data corresponding to a calibration of the physical orientation of the first vehicle.

Abstract: Fluid release detection is provided. A vehicle can determine, via a first sensor, a flow rate of a first fluid, such as a headspace gas, between an environment and a reservoir of the vehicle. The vehicle can receive a fluid consumption rate for a second fluid, such as a hydrocarbon fuel associated with the reservoir. The vehicle can detect, based on the flow rate and the fluid consumption rate, a fluid release of the reservoir. The vehicle can execute an action responsive to the detection of the fluid release.

Abstract: Aspects of this technical solution can include a method of calibration of a inertial navigation system of a vehicle. The method can include obtaining, from a first vehicle at a second vehicle by a communication interface coupled with the first vehicle and the second vehicle, with first data indicating a direction of gravity relative to a physical orientation of the first vehicle. The method can include obtaining, from the first vehicle at the second vehicle by the communication interface, with second data of the first vehicle indicating the physical orientation of the first vehicle, during movement of the first vehicle caused by the second vehicle. And the method can include generating, at the second vehicle during the movement of the first vehicle and based on the first data and the second data, third data corresponding to a calibration of the physical orientation of the first vehicle.

Abstract: Aspects of this technical solution can include transmitting, from a first vehicle to a second vehicle by a communication interface coupled with the first vehicle and the second vehicle, first data indicating a positioning of an antenna of a location sensor of the first vehicle, transmitting, from the first vehicle to the second vehicle by the communication interface, second data of the first vehicle indicating a physical location of the first vehicle, during movement of the first vehicle caused by the second vehicle, and receiving, at the first vehicle from the second vehicle by the communication interface in response to the movement of the first vehicle, third data generated at the second vehicle based on the first data and the second data, the third data corresponding to a calibration of the physical location of the first vehicle.

Abstract: Fluid release detection is provided. A vehicle can determine, via a first sensor, a flow rate of a first fluid, such as a headspace gas, between an environment and a reservoir of the vehicle. The vehicle can receive a fluid consumption rate for a second fluid, such as a hydrocarbon fuel associated with the reservoir. The vehicle can detect, based on the flow rate and the fluid consumption rate, a fluid release of the reservoir. The vehicle can execute an action responsive to the detection of the fluid release.