CAVH LLC (20240331529). VEHICLE AI COMPUTING SYSTEM (VACS) FOR AUTONOMOUS DRIVING simplified abstract

VEHICLE AI COMPUTING SYSTEM (VACS) FOR AUTONOMOUS DRIVING

Organization Name

CAVH LLC

Inventor(s)

Bin Ran of Fitchburg WI (US)

Zhiyu Wang of Fitchburg WI (US)

Renfei Wu of Fitchburg WI (US)

Junfeng Jiang of Fitchburg WI (US)

Yang Cheng of Middleton WI (US)

Keshu Wu of Madison WI (US)

Yifan Yao of Madison WI (US)

Tianyi Chen of Madison WI (US)

Haotian Shi of Madison WI (US)

Shen Li of Madison WI (US)

Kunsong Shi of Madison WI (US)

Zhen Zhang of Madison WI (US)

Fan Ding of Madison WI (US)

Huachun Tan of Madison WI (US)

Yuankai Wu of Madison WI (US)

Shuoxuan Dong of Basking Ridge NJ (US)

Linhui Ye of Madison WI (US)

Xiaotian Li of Madison WI (US)

VEHICLE AI COMPUTING SYSTEM (VACS) FOR AUTONOMOUS DRIVING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240331529 titled 'VEHICLE AI COMPUTING SYSTEM (VACS) FOR AUTONOMOUS DRIVING

The invention provides a Vehicle AI Computing System (VACS) that supports autonomous driving through an Onboard Unit (OBU) for vehicle-based computing and distributed computing based on vehicle road-cloud.

• VACS supports autonomous driving through an OBU for vehicle-based computing and distributed computing based on vehicle road-cloud.
• Vehicle-based computing effectively completes computational tasks using onboard computing resources.
• Distributed computing allows collaboration with roadside units (RSUs) and/or the cloud to complete various computational tasks.
• OBU integrates data from vehicle sensors, RSUs, and the cloud for data processing.
• VACS features a vehicle control module to control the vehicle based on data from RSUs and the cloud.
• High-performance computation resources are leveraged for end-to-end driving tasks.
• Large-scale parallel data processing is achieved using GPU onboard or based on vehicle-road-cloud.

Potential Applications: - Autonomous driving systems - Intelligent transportation systems - Smart city infrastructure

Problems Solved: - Enhancing vehicle autonomy and safety - Improving efficiency in transportation systems - Facilitating collaboration between vehicles, roadside units, and the cloud

Benefits: - Increased safety on the roads - Enhanced efficiency in transportation - Improved traffic management

Commercial Applications: Title: Autonomous Driving Systems for Enhanced Safety and Efficiency This technology can be applied in the automotive industry for developing advanced autonomous driving systems that improve safety and efficiency on the roads.

Questions about VACS: 1. How does VACS improve collaboration between vehicles and roadside units? VACS integrates data from vehicle sensors, RSUs, and the cloud to facilitate collaboration for completing various computational tasks effectively.

2. What are the key features of the OBU in VACS? The OBU in VACS includes a sensing module, communication module, data processing module, and vehicle control module to support autonomous driving tasks.

Original Abstract Submitted

the invention provides a vehicle ai computing system (vacs) that supports autonomous driving through an onboard unit (obu) for vehicle-based computing and distributed computing based on vehicle road-cloud. the vehicle-based computing can effectively complete various computational tasks by using onboard computing resources. the distributed computing allows the vehicle to work in collaboration with roadside units (rsus) and/or the cloud to effectively complete various computational tasks. the vacs features an obu with a sensing module, a communication module, and a data processing module that integrates data from vehicle sensors, rsus, and the cloud. the obu also includes a vehicle control module that helps control the vehicle based on the data of rsu and cloud. the vacs leverages high performance computation resources to implement end to end driving tasks including sensing, prediction, planning and decision making, and control. the vacs features large-scale parallel data processing by using gpu either onboard or based on vehicle-road-cloud.