Intelligence Assessment of Automated Driving Systems Based on Driving Intelligence Quotient-Reference-Cited by-同舟云学术

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Intelligence Assessment of Automated Driving Systems Based on Driving Intelligence Quotient

Published:2021-10-29 Issue: Volume: Page:
ISSN:
Container-title:2021 5th CAA International Conference on Vehicular Control and Intelligence (CVCI)
language:
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Author:

Wang Yulei¹,Li Meng¹,Huang Yanjun²,Chen Hong³

Affiliation:

1. Tongji University,Department of Control Science and Engineering,Shanghai,China

2. Tongji University,Clean Energy Automotive Engineering Center,Shanghai,China

3. Tongji University,Department of Control Science and Engineering Clean Energy Automotive Engineering Center,Shanghai,China

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9661115/9661116/09661123.pdf?arnumber=9661123

Reference20 articles.

1. Intelligence Testing for Autonomous Vehicles: A New Approach

2. Testing and Evaluating Driverless Vehicles' Intelligence: The Tsinghua Lion Case Study

3. J3016 levels of driving automation,2019

4. Professional ground robotic competitions from an educational perspective: A consideration using the example of the European Land Robot Trial (ELROB)

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1. How to Guarantee Driving Safety for Autonomous Vehicles in a Real-World Environment: A Perspective on Self-Evolution Mechanisms;IEEE Intelligent Transportation Systems Magazine;2024-03

2. A CNN-LSTM model for road surface recognition of electric balance vehicles;Systems Science & Control Engineering;2023-12-22

3. A Survey on Self-Evolving Autonomous Driving: A Perspective on Data Closed-Loop Technology;IEEE Transactions on Intelligent Vehicles;2023-11

4. Chat With ChatGPT on Intelligent Vehicles: An IEEE TIV Perspective;IEEE Transactions on Intelligent Vehicles;2023-03

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