Abstract: Among other things, techniques are described for identifying sensor data from a sensor of a first vehicle that includes information related to a pose of at least two other vehicles on a road. The technique further includes determining a geometry of a portion of the road based at least in part on the information about the pose of the at least two other vehicles. The technique further includes comparing the geometry of the portion of the road with map data to identify a match between the portion of the road and a portion of the map data. The technique further includes determining a pose of the first vehicle relative to the map data based at least in part on the match.

Abstract: Among other things, techniques are described for identifying, in a light detection and ranging (LiDAR) scan line, a first LiDAR data point and a plurality of LiDAR data points within a vicinity of the first LiDAR data point. The techniques may further include identifying, based on a comparison of the first LiDAR data point to at least one LiDAR data point of the plurality of LiDAR return points, a coefficient of the first LiDAR data point, wherein the coefficient is related to image smoothness. The techniques may further include identifying, based on a comparison of the coefficient to a threshold, whether to include the first LiDAR data point in an updated LiDAR scan line, and then identifying, based on the updated LiDAR scan line, a location of the autonomous vehicle.

Abstract: Among other things, techniques are described for identifying sensor data from a sensor of a first vehicle that includes information related to a pose of at least two other vehicles on a road. The technique further includes determining a geometry of a portion of the road based at least in part on the information about the pose of the at least two other vehicles. The technique further includes comparing the geometry of the portion of the road with map data to identify a match between the portion of the road and a portion of the map data. The technique further includes determining a pose of the first vehicle relative to the map data based at least in part on the match.

Abstract: Among other things, techniques are described for identifying, in a light detection and ranging (LiDAR) scan line, a first LiDAR data point and a plurality of LiDAR data points within a vicinity of the first LiDAR data point. The techniques may further include identifying, based on a comparison of the first LiDAR data point to at least one LiDAR data point of the plurality of LiDAR return points, a coefficient of the first LiDAR data point, wherein the coefficient is related to image smoothness. The techniques may further include identifying, based on a comparison of the coefficient to a threshold, whether to include the first LiDAR data point in an updated LiDAR scan line, and then identifying, based on the updated LiDAR scan line, a location of the autonomous vehicle.