Pony Ai Inc.

Plusai Limited

Pony Al Inc.

Robert Joseph Dingli

Peter G Diehl

Cyrus F Abari

Yui-Hong Matthias Tan

Mohammadhussein Rafieisakhaei

Joseph Michael Martin

Anurag Ganguli

Luke N Morrow

Chaozhe He

Lichun Yang

Chen Yue Li

Timothy Patrick Daly, Jr

Ankur Agarwal

Sinan Xiao

Amit Kumar

Xiaoyu Huang

Siva Bhargav Ravella

Hyoungju Seo

Wenbin Wang

Yufeng Zhang

Methods, systems, and non-transitory computer-readable media are configured to perform operations comprising determining a rescue lane scenario for an environment, determining an amount of lateral bias for a vehicle, and generating planning and control data for the vehicle to laterally bias based on the amount of lateral bias.

Vehicle control in rescue lane scenarios

Provided herein is a system on a vehicle, the system comprising one or more sensors, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform: receiving one or more ride requests for ridesharing from one or more users; receiving respective preferences from each of the one or more users; selecting a ride request of a user from the one or more ride requests based on the respective preferences; notifying the user of the selecting of the ride request; sending at least one of the images or videos of the interior of the vehicle to the user; in response to the sending, determining whether the user confirms the ride request; and in response to determining that the user confirms the ride request, selecting a route to the user and driving, according to the route, to the user.

User preview of the interior

An apparatus on a vehicle comprises one or more sensors, one or more nozzles that output fluid to clean the respective one or more sensors, and a compressor that generates fluid such as compressed air. The compressor is in fluid communication with the one or more nozzles. The apparatus further comprises one or more processors, and a memory storing instructions that, when executed by the one or more processors, cause the system to determine information of an acoustic emission from the compressor and to counteract the acoustic emission based on the determined information.

Audio control to mask vehicle component noise

Provided herein is a system and method that acquires data and determines a driving action based on the data. The system comprises a sensor, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform, determining data of interest comprising an object, feature, or region of interest, determining whether a sharpness of the data of interest exceeds a threshold, in response to determining that the sharpness does not exceed a threshold, operating the sensor to increase the sharpness of the data of interest until the sharpness exceeds the threshold, in response to the sharpness exceeding the threshold, determining a driving action of a vehicle based on the data of interest, and performing the driving action.

System and method for increasing sharpness of image

Techniques are described for determining failover to a redundant braking system. An example method can include a system determining a fault occurring in a braking system of an autonomous vehicle (AV) operating in an autonomous mode, the braking system comprising a first braking system and a second braking system, the fault occurring in at least one of the first braking system and the second braking system, and the AV using the first braking system. The system can further determine whether to switch from using the first braking system based at least in part on determining the fault. The system can further transmit to an alert system of the AV, a request to generate an alert for manual control of the AV based at least in part on determining the fault. The system can further deactivate the autonomous mode of the AV based at least in part on determining the fault.

Redundant brake and brake failover for autonomous vehicles

Methods, systems, and non-transitory computer readable media are configured to perform operations comprising determining an occurrence of a sign in an environment of a vehicle; determining that at least a portion of the sign is unrecognized by a local machine learning model of the vehicle; and providing sensor data associated with the at least one portion of the sign to an operations center remote from the vehicle.

Automatic navigation based on traffic management vehicles and road signs

A system includes heat generating components in a vehicle and a coolant flow path connected to the heat generating components. The system includes a coolant pump that circulates coolant through the coolant flow path and a reversing mechanism that reverses a direction of circulation of coolant.

Systems and methods for cooling vehicle components

Methods, systems, and non-transitory computer readable media are configured to perform operations comprising determining a plurality of predetermined situations in which lighting operation of an ego vehicle should automatically transition; determining occurrence of a predetermined situation of the plurality of predetermined situations; and causing an automatic transition in lighting operation of the ego vehicle.

Automatic control of high beam operation

Methods, systems, and non-transitory computer-readable media estimate coasting behavior of a vehicle; identify a scenario associated with coasting in an environment of the vehicle; and based in part on the coasting behavior, generate a trajectory associated with coasting for the vehicle to move in the scenario.

Scenario-based motion planning and control for coasting

An apparatus on a vehicle comprises one or more sensors, one or more nozzles that output fluid to clean the respective one or more sensors, and a compressor that generates fluid such as compressed air. The compressor is in fluid communication with the one or more nozzles. The apparatus further comprises one or more processors, and a memory storing instructions that, when executed by the one or more processors, cause the system to determine a current velocity of the vehicle and control an operation of the compressor based on the current velocity of the vehicle.

Vehicle speed-based compressor control

Provided herein is a system and method for a sensor system on a vehicle. The sensor system comprises sensors connected with one another in a daisy chain communication network. The sensor system further comprises a controller connected to at least one of the sensors. The controller is configured to operate the vehicle based on data from the sensors and to operate the daisy chain communication network.

Daisy chain network of sensors

A system includes an electronic control unit (ECU) having a housing and configured to be disposed within an interior of an autonomous vehicle. The system also includes an inertial measurement unit (IMU) rigidly disposed with the housing of the ECU. The system also includes a processor configured to receive measurement data from the IMU. The IMU and the processor is powered by a battery separate from a power source of the ECU. The processor is configured to identify a tamper event of the ECU based on the measurement data from the IMU. The processor is also configured to send a signal to cause a tamper response of the tamper event.

Methods and apparatus for tamper detection of a vehicle system

Embodiments provide a vehicle computer coupled to a vehicle. The vehicle computer may be configured to compute (e.g., generate) an automated lane change maneuver moving the vehicle from a first lane into a second, adjacent lane. The lane change maneuver may have commenced while the maneuver was safe to conduct, but a threat vehicle (or another threat object) may be subsequently detected moving into the same target lane. The option to immediately abort the maneuver and return to the original lane may not be appropriate after some time into the lane change maneuver. The vehicle computer may control the vehicle in a lateral position hold along the lane demarcation line for a predetermined amount of time before moving into the second lane when the threat vehicle clears the second lane or returning to the first lane when the threat vehicle does not clear the second lane.

Managing lane change threats

Provided herein is a system and method that acquires data and determines a driving action based on the data. The system comprises a processor configured to acquire data of nonuniform resolution over a field of view of the sensor, and a controller configured to determine a driving action of a vehicle based on the data, and perform the driving action.

Variable resolution sensors

Described herein are systems, methods, and computer readable media for dynamically determining a language variant to use for vehicle output to a vehicle occupant based on the vehicle's location. A geographic region may include multiple sub-regions, each of which may be associated with a respective one or more language variants. As an example, a geographic region may be a state or province, and each sub-region may have one or more dialects that are spoken by individuals in that sub-region. In some cases, a particular dialect may be predominant in a given sub-region. As a vehicle traverses a travel path, it may determine its current location, which geographic sub-region includes that location, and which language variant (e.g., dialect) is predominant there. That language variant may then be selected for in-vehicle communication with a vehicle occupant. The vehicle location determination may be made at or near where the occupant entered the vehicle.

Growing community of inventors

Cupertino, CA, United States of America

Robert Joseph Dingli