Abstract: An occupant protection system may comprise an expandable curtain, expandable bladder and tether. The curtain may be configured to expand from a stowed state to a deployed state. In the deployed state, the curtain may comprise a transverse portion having a support side face and a rear side face. The bladder may be configured to expand from a stowed state to a deployed, wherein in the deployed state, the bladder comprises an occupant facing surface and a rear surface configured to face the support side face of the curtain. The tether may be attached at a first location to the bladder and at a second location such that in the deployed state of the curtain and bladder, the tether extends behind the rear side face of the curtain and frictionally engages the rear side face of the curtain, thereby creating a resistance to lateral movement of the bladder.

Abstract: A vehicle may include an active ride comfort tuning system that reactively and/or proactively alters a parameter of a system of the autonomous vehicle to mitigate or avoid interruptions to ride smoothness. An indication that a ride smoothness interruption occurred at a vehicle may be generated at the vehicle and/or at a remote computing device. The remote computing device may determine an altered parameter for controlling how the vehicle operates and a ruleset for when the vehicle should implement the altered parameter in place of a nominal parameter.

Abstract: Techniques are described herein for generating trajectories for autonomous vehicles using velocity-based steering limits. A planning component of an autonomous vehicle can receive steering limits determined based on safety requirements and/or kinematic models of the vehicle. Discontinuous and discrete steering limit values may be converted into a continuous steering limit function for use during on-vehicle trajectory generation and/or optimization operations. When the vehicle is traversing a driving environment, the planning component may use steering limit functions to determine a set of situation-specific steering limits associated with the particular vehicle state and/or driving conditions. The planning component may execute loss functions, including steering angle and/or steering rate costs, to determine a vehicle trajectory based on the steering limits applicable to the current vehicle state.

Abstract: Techniques are discussed for determining a velocity of an object in an environment from a sequence of images (e.g., two or more). A first image of the sequence is transformed to align the object with an image center. Additional images in the sequence are transformed by the same amount to form a sequence of transformed images. Such sequence is input into a machine learned model trained to output a scaled velocity of the object (a relative object velocity (ROV)) according to the transformed coordinate system. The ROV is then converted to the camera coordinate system by applying an inverse of the transformation. Using a depth associated with the object and the ROV of the object in the camera coordinate frame, an actual velocity of the object in the environment is determined relative to the camera.

Abstract: Techniques are discussed for determining a data level for portions of data for processing. In some cases, a data level can correspond to a resolution level, a compression level, a bit rate, and the like. In the context of image data, the techniques can determine a region of first image data to be processed a high resolution and a region of second image data to be processed at a low resolution. The regions can be determined by a machine learned algorithm that is trained to output identifications of such regions. Training data may be determined by identifying differences in outputs based on the first and second image data. The image data associated with the determined regions and the determined resolutions can be processed to perform object detection, classification, segmentation, bounding box generation, and the like, thereby conserving processing, bandwidth, and/or memory resources in real time systems.

Abstract: Techniques and methods for determining regions. For instance, a vehicle may determine a trajectory of the vehicle and a trajectory of an agent, such as a pedestrian. The vehicle may then determine one or more contextual factors. In some examples, the one or more contextual factors are associated with a location of the agent with respect to a crosswalk, a location of the vehicle with respect to the crosswalk, a state of the crosswalk, and/or the like. The vehicle may then determine the region using the trajectory of the vehicle, the trajectory of the agent, and the one or more contextual factors. Additionally, using a time buffer value and a distance buffer value associated with the region, the vehicle may determine whether to yield to the agent within the region.

Abstract: A battery pack for a vehicle electrical system includes a casing for receiving one or more battery modules. The battery modules are insertable into a casing of the battery pack by sliding couplers along pairs of rails and are securable to the ends of the rails. After insertion, the rails thermally insulate one battery module from other battery modules coupled to the casing. In some examples, a first stiffness or a first mechanical frequency of the casing with the one or more battery modules inserted may differ from a second stiffness or a second mechanical frequency associated with a body of a vehicle or another component associated therewith by a threshold amount. Additionally, the casing may be configured with vents for venting the hot gases, such as those generated by a battery module in a thermal runaway event.

Abstract: A vehicle computing system may implement techniques to determine relevance of objects detected in an environment to a vehicle operating in the environment (e.g., whether an object could potentially impact the vehicle's ability to safely travel). The techniques may include determining an initial location and trajectory associated with a detected object and determining whether the detected object may intersect a path polygon (e.g., planned path with a safety buffer) of the vehicle. A path intersection may include the detected object intersecting the path polygon or sharing a road segment with the vehicle at a substantially similar height as the vehicle (e.g., on a similar plane). Based on a determination that the detected object does not intersect the planned path of the vehicle, the vehicle computing system may determine that the detected object is irrelevant to the vehicle and may disregard the detected object in vehicle control planning considerations.

Abstract: Junction queueing for vehicles is described, in which vehicles may be queued based on arrival time at a junction, position relative to a stopping location at the junction, and/or an amount of time waiting for other vehicles to proceed through the junction (timeout). In some examples, the queue may be first generated based on the arrival times of any other vehicle relative to a particular vehicle generating the queue. The queue may be updated based on arrival times of other vehicles (e.g., after the particular vehicle), whether another vehicle has proceeded out-of-turn (e.g., based on a position at the junction), and/or a timeout for vehicles that wait for others to yield at the junction. In some examples, hysteresis and alterations of the score for safety reasons may alter queue order. The queue may be used to control the particular vehicle to traverse the junction.

Abstract: A system and method for determining whether a passenger is seated in a seating area and, based at least in part on detecting the passenger, engaging or disengaging a flap in a headrest. Such a headrest may span multiple seats so that a single headrest is used by multiple passengers. Each of one or more flaps in the single headrest may then be configured by the passenger to provide each passenger with their own privacy and comfort. By actively controlling the state of the flap, a uniform passenger experience may be created so that the flap is in the same state upon a passenger entering the vehicle. Further, examples of the headrest are designed and configured to couple directly, or indirectly, to a vehicle body, such that the headrest does not couple directly to a seat or passenger seating area.

Abstract: A wireless-charging adapter is connectable to a direct current (DC) fast charger and includes an induction coil for wireless charging a second induction coil on a vehicle. In some instances, the adapter may include an electrical connector to mate with a DC fast charger. In addition, the adapter may include hardware and/or software to receive a DC from the DC fast charger and provide an alternating current (AC) to the induction coil. The induction coil of the adapter may be positioned (e.g., on a ground surface) to align with an induction coil on a vehicle.

Abstract: Techniques are discussed herein for determining truncated simulation regions within a parameter space of simulation scenarios, such as driving scenarios used to analyze and evaluate the responses of autonomous vehicle controllers. Using non-sampling-based parameter selection techniques, parameterized scenarios may be executed as simulations to determine the truncated simulation region. Sampling-based parameter selection techniques may be used to determine additional parameterized scenarios, which may be compared to the truncated simulation region. Parameterized scenarios within the truncated simulation region may be executed as simulations and scenarios outside of the truncated simulation region may be excluded, and the aggregated results may be analyzed to determine scenario/vehicle performance metrics across the scenario parameter space.

Abstract: A vehicle computing system may identify an obstruction along a route of travel and may connect to a service computing device for guidance. The service computing device may include a guidance system configured to receive waypoint and/or orientation input from an operator. The operator may evaluate the scenario and determine one or more waypoints and/or associated orientations for the vehicle to navigate the scenario. In some examples, the guidance system may validate the waypoint(s) and/or associated orientation(s). The service computing device may send the waypoint(s) and/or associated orientation(s) to the vehicle computing system. The vehicle computing system may validate the waypoint(s) and/or associated orientation(s) and, based on the validation, control the vehicle according to the input. Based on a determination that the vehicle has navigated the scenario, the guidance system may release vehicle guidance back to the vehicle computing system.

Abstract: Techniques are discussed for modifying map elements associated with map data. Map data can include three-dimensional data (e.g., LIDAR data) representing an environment, while map elements can be associated with the map data to identify locations and semantic information associated with an environment, such as regions that correspond to driving lanes or crosswalks. A trajectory associated with the map data can be updated, such as when aligning one or more trajectories in response to a loop closure, updated calibration, etc. The transformation between a trajectory and an updated trajectory can be applied to map elements to warp the map elements so that they correspond to the updated map data, thereby providing automatic and accurate techniques for updating map elements associated with map data.

Abstract: A sensor pod system includes one or more sensor pods with a plurality of sensors configured to collect data from an environment. The sensor pod system may include a cleaning system to clean sensing surfaces of sensor pods during operation. The sensor pod system may include sensors of different types and modalities. Sensor pods of the sensor pod system may be modularly installed on a vehicle, for example, an autonomous vehicle and collect and provide data of the environment during operation of the vehicle.

Abstract: A method and system of determining whether a stationary vehicle is a blocking vehicle to improve control of an autonomous vehicle. A perception engine may detect a stationary vehicle in an environment of the autonomous vehicle from sensor data received by the autonomous vehicle. Responsive to this detection, the perception engine may determine feature values of the environment of the vehicle from sensor data (e.g., features of the stationary vehicle, other object(s), the environment itself). The autonomous vehicle may input these feature values into a machine-learning model to determine a probability that the stationary vehicle is a blocking vehicle and use the probability to generate a trajectory to control motion of the autonomous vehicle.

Abstract: Techniques for determining map data for localizing a vehicle in an environment are discussed herein. A vehicle can capture sensor data such as image data and can detect objects in the sensor data. Detected objects can include semantic object such as traffic lights, lane lines, street signs, poles, and the like. Rays based on a pose of the sensor and the detected objects can be determined. Intersections between the rays can be determined. The intersections can be utilized to determine candidate landmarks in the environment. The candidate landmarks can be utilized to determine landmarks and to eliminate other candidate landmarks. The map data can be determined based on the three-dimensional locations and utilized to localize vehicles.

Abstract: Acceleration determination for controlling a vehicle, such as an autonomous vehicle, is described. In an example, objects in an environment of the vehicle are identified and a probability that each object will impact travel of the vehicle is determined. Individual accelerations for responding to each object may also be determined. Weighting factors for each of the accelerations may also be determined based on the probabilities. A control acceleration may be determined based on the weighting factors and the accelerations.

Abstract: A safety system for vehicle may include a restraint surface adjustment mechanism for adjusting at least one of a height or an angle of a restraint surface disposed under a vehicle seat during a collision and/or predicted collision in which the vehicle seat is facing in the direction of travel and/or the direction of the oncoming collision. The seat may comprise a bench seat including a first seating space and a second seating space. A first restraint surface adjustment mechanism may be associated with the first seating space and a second restraint surface adjustment mechanism may be associated with the second seating space. The restraint surface adjustment mechanism may include, for example, an inflatable bladder, a movable plate which rotates about an axis, or other restraint surface adjustment mechanisms that adjust at least one of the height, angle, or physical property (e.g., rigidity) of one or more restraint surfaces.