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Connected and Autonomous dRiving Laboratory

Lab

Motivation

With the burgeoning of Sensing, Edge Computing, AI, and 5G technologies, we envision future vehicles will serve as a computing platform for a variety of services like advanced driver assistance system (ADAS) and Autonomous Driving (AD), remote real-time diagnostics, in-vehicle infotainment, and a variety of third-party services, such as public safety and weather alert. As the amount of data generated by these services on one vehicle increases dramatically and has the potential to reach four terabytes per day, it is a huge challenge to guarantee performance through the limited on-board computing power. Therefore, an efficient data analytics platform, including both hardware and software, is needed to enable future vehicle computing. In partnership with our industry collaborators,the CAR lab at Wayne State University aims to design and implement enabling technologies, including edge computing/communication systems, data analytics and applications, secure trusted execution environment, privacy preserving models and tools, to realize the vision of connected and autonomous driving. 

Given the unique position of Detroit as the hub of the North American automobile industry, we have founded MetroCAD, an annual workshop in this region.

OpenVDAP

Many automobile companies are working on their proprietary computing platform, however, an open platform that provide interfaces for researchers and developers is missing. In this project, we aim to develop such a platform that provides a full stack solution and dynamically senses services status and adjusts services to guarantee service quality and user experience. We are developing on an open vehicular data analytics platform (OpenVDAP),which consists of four components: heterogeneous vehicle computing unit (VCU) , operation system (EdgeOS) driving data collector and integrator (DDI), and application library (libvdap).

VCU:

heterogeneous vehicle computing unit:We intend to manage and utilize the heterogeneous computing hardware resources in a future vehicle, e.g., CPU, GPU and FPGA, as well as computing devices from passengers,  to support real-time data processing. We also aim to manage the multiple communication  components, e.g., 3G/4G/5G and DSRC, available in the vehicle.

EdgeOS:

edge operating system for vehicle: The core of OpenVDAP is an edge operating system for vehicles, call EdgeOSv, in which each service offers multiple execution pipelines in response to various network and computational constraints. EdgeOSv employs an elastic management model that automatically chooses an optimal pipeline to reduce the lowest end-to-end latency.

DDI:

driving data collector and integrator: we build a driving data collector and integrator. This service will collect all data generated by the vehicle, including the data read by OBD reader and other sensors' data, such as dash camera. Moreover, this service will integrate related data from Internet, such as weather, road condition and so on. 

libvdap:

application library: We provide a library for developers who want to build third-party services on our EdgeOSv. Using libvdap, developers can access all vehicle data by communicating with DDI service. 

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Address
5057 Woodward Ave, Room 2218
Detroit, MI 48202, USA
Department of Computer Science
Wayne State University
Contact
Professor Weisong Shi
Phone:(313)577-3186
Email:weisong AT wayne.edu
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