Arda Kurt

US Patent:

20220242413, Aug 4, 2022

Filed:

Feb 1, 2021

Appl. No.:

17/164207

Inventors:

- San Diego CA, US
Dinghua LI - San Diego CA, US
Arda KURT - San Diego CA, US
Chasen SHERMAN - San Diego CA, US

International Classification:

B60W 30/19
B60W 60/00
G01C 21/34

Abstract:

Devices, systems, and methods for integrated predictive dynamic control of a vehicle powertrain in an autonomous vehicle are described. An example method for controlling a vehicle includes generating, based on performing an optimization on a blended smooth wheel domain fuel consumption map subject to a modified torque availability constraint, one or more wheel domain control commands, converting the one or more wheel domain control commands to one or more powertrain-executable engine domain control commands, and transmitting the one or more powertrain-executable engine domain control commands to a powertrain of the vehicle, the powertrain configured to operate a plurality of gears, wherein the one or more powertrain-executable engine domain control commands enable the vehicle to track a reference kinematic trajectory associated with a vehicle speed driving plan within a predetermined tolerance.

US Patent:

20230049018, Feb 16, 2023

Filed:

Oct 18, 2022

Appl. No.:

17/968729

Inventors:

- San Diego CA, US
Zhujia SHI - San Diego CA, US
Riad I. HAMMOUD - San Diego CA, US
Arda KURT - San Diego CA, US

International Classification:

B60W 60/00

Abstract:

Techniques are described for determining visibility conditions of an environment in which an autonomous vehicle is operated and performing driving related operations based on the visibility conditions. An example method of adjusting driving related operations of a vehicle includes determining, by a computer located in an autonomous vehicle, a visibility related condition of an environment in which the autonomous vehicle is operating, adjusting, based at least on the visibility related condition, a set of one or more values of one or more variables associated with a driving related operation of the autonomous vehicle, and causing the autonomous vehicle to be driven to a destination by causing the driving related operation of one or more devices located in the autonomous vehicle based on at least the set of one or more values.

US Patent:

20210403032, Dec 30, 2021

Filed:

Jun 25, 2020

Appl. No.:

16/912444

Inventors:

- San Diego CA, US
Arda KURT - San Diego CA, US
Yujia WU - San Diego CA, US
Tianqu SHAO - San Diego CA, US
Xing SUN - San Diego CA, US
Zijie XUAN - San Diego CA, US
Haoming SUN - San Diego CA, US
Chasen SHERMAN - San Diego CA, US

International Classification:

B60W 60/00
G05D 1/02
G05D 1/00
H04W 4/40

Abstract:

Described is a two-level optimal path planning process for autonomous tractor-trailer trucks which incorporates offline planning, online planning, and utilizing online estimation and perception results for adapting a planned path to real-world changes in the driving environment. In one aspect, a method of navigating an autonomous vehicle includes determining, by an online server, a current vehicle state of the autonomous vehicle in a mapped driving area. The method includes receiving, by the online server from an offline path library, a path for the autonomous driving vehicle through the mapped driving area from the current vehicle state to a destination vehicle state, and receiving fixed and moving obstacle information. The method includes adjusting the path to generate an optimized path that avoids the fixed and moving obstacles and ends at a targeted final vehicle state, and navigating the autonomous vehicle based on the optimized path.

US Patent:

20210294333, Sep 23, 2021

Filed:

Mar 20, 2020

Appl. No.:

16/826117

Inventors:

- San Diego CA, US
Arda KURT - San Diego CA, US
Tianqu SHAO - San Diego CA, US
Chasen SHERMAN - San Diego CA, US
Xing SUN - San Diego CA, US

International Classification:

G05D 1/02
B62D 15/02

Abstract:

Methods, systems and apparatus for autonomous vehicle path planning and path navigation are described. One example system includes an offline server configured to generate a library of optimal paths for navigating a geographic area, wherein the geographic area is represented as a grid node map and an orientation grid bin map and wherein the optimal paths correspond to paths between pairs of grid node pairs in the grid node map based on optimization criteria, a storage device on the autonomous vehicle for storing the library of optimal paths, and an online server located on the autonomous vehicle configured to access information from the library of optimal paths from the storage device based on a current position and a current heading of the autonomous vehicle, and navigating the autonomous vehicle through the geographic area based on the information.

US Patent:

20200142405, May 7, 2020

Filed:

Nov 5, 2018

Appl. No.:

16/181110

Inventors:

- San Diego CA, US
Jun Chen - San Diego CA, US
Yujia Wu - Emeryville CA, US
Haoming Sun - San Diego CA, US
Zijie Xuan - Tucson AZ, US
Arda Kurt - San Diego CA, US

International Classification:

G05D 1/00
G05D 1/02
G06F 17/11
G05B 19/4155

Abstract:

Systems and methods for dynamic predictive control of autonomous vehicles are disclosed. In one aspect, an in-vehicle control system for a semi-truck includes one or more control mechanisms configured to control movement of the semi-truck and a processor. The system further includes computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive a desired trajectory and a vehicle status of the semi-truck, determine a dynamic model of the semi-truck based on the desired trajectory and the vehicle status, determine at least one quadratic program (QP) problem based on the dynamic model, generate at least one control command for controlling the semi-truck by solving the at least one QP problem, and provide the at least one control command to the one or more control mechanisms.