Pony Ai Inc.

Nengxiu Deng

Xiang Yu

Tiancheng Lou

Jun Peng

Yubo Zhang

Kai Chen

Zuoteng Chen

Cheng Jin

Zhongnan Hu

Hao Song

Sinan Xiao

Tianyi Li

Tao Qin

Jianan Wang

Jie Hou

Xing Xing He

A set of sensor information may include first sensor information generated based on a first sensor of a first vehicle and second sensor information generated based on a second sensor of a second vehicle. Individual sensor information may characterize positions of objects in an environment of individual sensors. Relevant sensor information for a vehicle may be determined based on the set of sensor information and a position of the vehicle. The relevant sensor information may characterize positions of objects in a maneuver environment of the vehicle. A desired navigation of the vehicle in the maneuver environment of the vehicle may be determined based on the relevant sensor information. An instruction may be provided to the vehicle based on the desired navigation of the vehicle. The instruction may characterize one or more maneuvers to be performed by the vehicle to execute the desired navigation.

Distributed sensing for vehicle navigation

A computer-implemented method and a system for training a computer-based autonomous driving model used for an autonomous driving operation by an autonomous vehicle are described. The method includes: creating time-dependent three-dimensional (3D) traffic environment data using at least one of real traffic element data and simulated traffic element data; creating simulated time-dependent 3D traffic environmental data by applying a time-dependent 3D generic adversarial network (GAN) model to the created time-dependent 3D traffic environment data; and training a computer-based autonomous driving model using the simulated time-dependent 3D traffic environmental data.

Generative adversarial network enriched driving simulation

A sensor enclosure comprises a cover and a structure. The structure can be encased by the cover. The structure comprises a frame, a ring, and one or more anchoring posts. The frame can be configured to mount one or more sensors. The ring, disposed peripherally to the frame, can be operatively coupled to the cover. The ring can include a drainage ring plate that drains rainwater accumulated on the cover away from the sensor enclosure. The one or more anchoring posts, disposed underneath the frame and the ring, can be used to anchor the sensor enclosure to a vehicle.

Sensor enclosure drainage

A sensor enclosure comprising a domed cover and a base. The base can be encased by the domed cover. The base comprises an inner frame, an outer frame, one or more wipers, and a powertrain. The inner frame can provide surfaces for one or more sensors. The outer frame, disposed underneath the inner frame, the outer frame includes a slewing ring. The slewing ring comprises an inner ring to which the domed cover is attached and an outer ring attached to the outer frame. The one or more wipers extends vertically from the outer frame, each wiper having a first end attached to the outer frame and a second end attached to a support ring, and each wiper making a contact with the dome cover. The powertrain, disposed within the outer frame, configured to rotate the ring and the dome cover attached to the inner ring.

Alternative wiper mechanism to remove rainwater on a sensor enclosure

A computer implemented method for operating a wiper system of a sensor enclosure. The wiper system can be configured to receive a camera operating information from one or more cameras. The one or more cameras can be determined to be in an exposure mode based on the camera operating information. A first speed of one or more wipers can be adjusted such that the one or more wipers are not in field of views of the one or more cameras while the one or more cameras are in the exposure mode.

Method for controlling wipers based on a camera exposure time

A computer implemented method for controlling camera exposure to augment a wiper system of a sensor enclosure. The computer implemented method can detect a presence of a wiper in one or more images captured by one or more cameras. An exposure time of the one or more cameras can be adjusted. Wiper speed can be adjusted such that wipers move in and out of one or more field of views of the one or more cameras while the one or more cameras are capturing images.

Method for controlling camera exposure to augment a wiper system of a sensor enclosure

A cover defining an outer contour of a sensor enclosure with at least three identifiable portions stacked along a vertical axis. A first portion having a circular domed shape. A second portion, disposed underneath the first portion and coupled to a base of the first portion, having a truncated cone shape. The second portion includes one or more protruding grooves arranged diagonally about the vertical axis and imprinted on an outer surface of the second portion. The one or more protruding grooves channel a portion of an inlet airflow drawn into a cavity of the cover into a circular airflow. A third portion, disposed underneath the second portion and coupled to a base of the second portion, having a truncated cone shape.

Cover for creating circular airflows inside an enclosure

Obtaining one or more parameters of an autonomous vehicle, the parameters including any of a position, path, and/or speed of the autonomous vehicle. A region of interest from a plurality of regions surrounding the autonomous vehicle is identified based on the one or more parameters. One or more sensors mounted on a sensor guide rail are controlled, based on the region of interest, to move the sensor(s) along at least a portion of the autonomous vehicle, and to capture sensor data of the region of interest and not capture sensor data from the one or more other regions of the plurality of regions surrounding the autonomous vehicle, the sensor guide rail being mounted on a surface of the autonomous vehicle. The captured sensor data is provided to a processor capable of facilitating, based on the captured sensor data of the region of interest, one or more autonomous vehicle driving actions.

Systems and methods for selectively capturing sensor data of an autonomous vehicle using a sensor guide rail

Systems, methods, and non-transitory computer readable media may be configured to facilitate prioritization of vehicle navigation. One or more vehicles in an environment of a priority vehicle may be identified. Priorities of the vehicle(s) and the priority vehicle may be determined. A desired navigation of the priority vehicle in the environment may be determined based on the priorities of the vehicle(s) and the priority vehicle. An instruction may be provided to at least one of the vehicle(s) based on the desired navigation of the priority vehicle in the environment. The instruction may characterize one or more maneuvers to be performed by the at least one of the vehicle(s) to facilitate the desired navigation of the priority vehicle.

Prioritizing vehicle navigation

Systems, methods, and non-transitory computer-readable media are provided for implementing a preemptive control for an autonomous vehicle to improve ride quality. Data from one or more sensors onboard the autonomous vehicle can be acquired. A surface imperfection of a road can be identified from the data. A next action for the autonomous vehicle can be determined based on the surface imperfection. A signal can be outputted that causes the autonomous vehicle to act in accordance with the next action.

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Fremont, CA, United States of America

Nengxiu Deng