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: An autonomous vehicle (AV) is described herein. The AV is configured to identify an occluded region where a portion of a field of view of a sensor is occluded by an object. The AV is further configured to hypothesize that an object exists in the occluded region and is moving in the occluded region. The AV is still further configured to perform a driving maneuver based upon the hypothesized object existing in the occluded region.

Abstract: An autonomous vehicle (AV) is described herein. The AV is configured to identify an occluded region where a portion of a field of view of a sensor is occluded by an object. The AV is further configured to hypothesize that an object exists in the occluded region and is moving in the occluded region. The AV is still further configured to perform a driving maneuver based upon the hypothesized object existing in the occluded region.

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: 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: An autonomous vehicle (AV) is described herein. The AV is configured to identify an occluded region where a portion of a field of view of a sensor is occluded by an object. The AV is further configured to hypothesize that an object exists in the occluded region and is moving in the occluded region. The AV is still further configured to perform a driving maneuver based upon the hypothesized object existing in the occluded region.

Abstract: An autonomous vehicle (AV) is described herein. The AV is configured to identify an occluded region where a portion of a field of view of a sensor is occluded by an object. The AV is further configured to hypothesize that an object exists in the occluded region and is moving in the occluded region. The AV is still further configured to perform a driving maneuver based upon the hypothesized object existing in the occluded region.

Abstract: An autonomous vehicle (AV) is described herein. The AV is configured to identify an occluded region where a portion of a field of view of a sensor is occluded by an object. The AV is further configured to hypothesize that an object exists in the occluded region and is moving in the occluded region. The AV is still further configured to perform a driving maneuver based upon the hypothesized object existing in the occluded region.

Abstract: An autonomous vehicle (AV) is described herein. The AV is configured to identify an occluded region where a portion of a field of view of a sensor is occluded by an object. The AV is further configured to hypothesize that an object exists in the occluded region and is moving in the occluded region. The AV is still further configured to perform a driving maneuver based upon the hypothesized object existing in the occluded region.

Abstract: Various technologies described herein pertain to controlling an autonomous vehicle to provide indicators that signal a driving intent of the autonomous vehicle. The autonomous vehicle includes a plurality of sensor systems that generate a plurality of sensor signals, a notification system, and a computing system. The computing system determines that the autonomous vehicle is to execute a maneuver that will cause the autonomous vehicle to traverse a portion of a driving environment of the autonomous vehicle. The computing system predicts that a person in the driving environment is to traverse the portion of the driving environment based upon the plurality of sensor signals. The computing system then controls the notification system to output a first indicator indicating that the autonomous vehicle plans to yield to the person or a second indicator indicating that the autonomous vehicle plans to execute the maneuver prior to the person traversing the portion of the driving environment.

Abstract: An autonomous vehicle configured to perform a lane change maneuver is described herein. The autonomous vehicle includes several different types of sensor systems, such as image, lidar, radar, sonar, infrared, and GPS. The autonomous vehicle additionally includes a computing system that executes instructions on a lane change detection system and a control system. The lane change detection system includes a region of interest module and an object trajectory module for determining whether the autonomous vehicle will collide with another object if the autonomous vehicle maneuvers into an adjacent lane. An instruction module of the lane change detection system is further used to facilitate operational control of a mechanical system of the autonomous vehicle, such as an engine or a steering system.

Abstract: An autonomous vehicle configured to perform a lane change maneuver is described herein. The autonomous vehicle includes several different types of sensor systems, such as image, lidar, radar, sonar, infrared, and GPS. The autonomous vehicle additionally includes a computing system that executes instructions on a lane change detection system and a control system. The lane change detection system includes a region of interest module and an object trajectory module for determining whether the autonomous vehicle will collide with another object if the autonomous vehicle maneuvers into an adjacent lane. An instruction module of the lane change detection system is further used to facilitate operational control of a mechanical system of the autonomous vehicle, such as an engine or a steering system.

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: 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: 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: The subject disclosure relates to methods for performing accurate localization to facilitate autonomous vehicle (AV) navigation. Aspects of the disclosed technology include a method that includes steps for receiving a first feature set at an autonomous vehicle (AV) localization system, wherein the first feature set is transmitted to the AV localization system by a mobile device associated with an AV user, comparing the first feature set to a high-resolution map to determine a location of the mobile device, and transmitting the location of the mobile device to an autonomous vehicle (AV) that is en route to the AV user. Systems and machine-readable media are also provided.

Abstract: An autonomous vehicle (AV) is described herein. The AV is configured to identify an occluded region where a portion of a field of view of a sensor is occluded by an object. The AV is further configured to hypothesize that an object exists in the occluded region and is moving in the occluded region. The AV is still further configured to perform a driving maneuver based upon the hypothesized object existing in the occluded region.

Abstract: An autonomous vehicle (AV) is described herein. The AV is configured to identify an occluded region where a portion of a field of view of a sensor is occluded by an object. The AV is further configured to hypothesize that an object exists in the occluded region and is moving in the occluded region. The AV is still further configured to perform a driving maneuver based upon the hypothesized object existing in the occluded region.

Abstract: An autonomous vehicle (AV) is described herein. The AV is configured to identify an occluded region where a portion of a field of view of a sensor is occluded by an object. The AV is further configured to hypothesize that an object exists in the occluded region and is moving in the occluded region. The AV is still further configured to perform a driving maneuver based upon the hypothesized object existing in the occluded region.

Abstract: Various technologies described herein pertain to controlling an autonomous vehicle to provide indicators that signal a driving intent of the autonomous vehicle. The autonomous vehicle includes a plurality of sensor systems that generate a plurality of sensor signals, a notification system, and a computing system. The computing system determines that the autonomous vehicle is to execute a maneuver that will cause the autonomous vehicle to traverse a portion of a driving environment of the autonomous vehicle. The computing system predicts that a person in the driving environment is to traverse the portion of the driving environment based upon the plurality of sensor signals. The computing system then controls the notification system to output a first indicator indicating that the autonomous vehicle plans to yield to the person or a second indicator indicating that the autonomous vehicle plans to execute the maneuver prior to the person traversing the portion of the driving environment.