Pony Ai Inc.

Zhuo Zhang

Xiang Yu

Jun Peng

Tiancheng Lou

Hao Song

Yiming Liu

Sinan Xiao

Jie Hou

Tianyi Li

Kai Chen

Bo Xiao

Systems, methods, and non-transitory computer-readable media are provided for implementing a tracking camera system onboard an autonomous vehicle. Coordinate data of an object can be received. The tracking camera system actuates, based on the coordinate data, to a position such that the object is in view of the tracking camera system. Vehicle operation data of the autonomous vehicle can be received. The position of the tracking camera system can be adjusted, based on the vehicle operation data, such that the object remains in view of the tracking camera system while the autonomous vehicle is in motion. A focus of the tracking camera system can be adjusted to bring the object in focus. The tracking camera system captures image data corresponding to the object.

Systems and methods for implementing a tracking camera system onboard an autonomous vehicle

An adaptive filter system and a method for controlling the adaptive filter system are described herein. The system can includes one or more filters to attenuate incoming light. The one or more filters can be moved by one or more actuators. The method can capture image data from an imaging device through the one or more filters. Information can be determined from the captured image data. The one or more filters can be moved to a position for capturing image data based on the information.

Adaptive filter system for self-driving vehicle

Systems, methods, and non-transitory computer readable media configured to generate enhanced training information. Training information may be obtained. The training information may characterize behaviors of moving objects. The training information may be determined based on observations of the behaviors of the moving objects. Behavior information may be obtained. The behavior information may characterize a behavior of a given object. Enhanced training information may be generated by inserting the behavior information into the training information.

Enhanced training information generation

Systems, methods, and non-transitory computer readable media configured to generate enhanced three-dimensional information. Three-dimensional information of a scene may be obtained. The three-dimensional information may define a three-dimensional point cloud model of the scene. The three-dimensional information may be determined based on distances of the scene from a location. Image information may be obtained. The image information may define one or more images of an object. The object may be identified based on the image information. A three-dimensional point cloud model of the object may be obtained. Enhanced three-dimensional information of the scene may be generated by inserting the three-dimensional point cloud model of the object into the three-dimensional point cloud model of the scene.

Enhanced three-dimensional training data generation

A system included and a computer-implemented method performed in an autonomous-driving vehicle are described. The system performs: detecting one or more movable objects; determining a target movable object from the one or more detected objects; determining a manner of generating a directed alert notification selectively toward the target movable object; and causing a directed alert notification of the determined manner to be generated toward the target movable object.

Directed alert notification by autonomous-driving vehicle

A system included and a computer-implemented method performed in one of a plurality of self-driving vehicles that are connected through a network are described. The system performs: processing image data of one or more scene images received by said one of the plurality of self-driving vehicles, to detect one or more objects included in the one or more scene images; determining a target object from the one or more detected objects at least based on the processed image data; predicting movement of the target object at least based on a current position and a current movement state of the target object; and performing a self-driving operation to drive said one of the plurality of self-driving vehicles based on the predicted movement of the target object.

Coordinated control of self-driving vehicles under emergency situations

Embodiments disclosed herein are directed to autonomous vehicles comprising at least one interior compartment including: at least one table; at least one seating unit; at least one closet; at least one window configured to transition between a substantially transparent state and a substantially opaque state and to display at least navigational information; at least one vanity; at least one storage area; or combinations thereof; wherein the vehicle is configured to operate in at least an autonomous mode. In some instance, the vehicle may not include steering equipment (e.g., steering wheel) and/or acceleration or deceleration equipment (e.g., a gas or brake pedal).

Growing community of inventors

Fremont, CA, United States of America

Zhuo Zhang