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Deep-Learning-Based Anomaly Detection for Lane-Changing Decisions

Year: 2022

Type: conference-paper

Source: IEEE Intelligent Vehicles Symposium

DOI: 10.1109/iv51971.2022.9827293

Authors: Sheng-Li Wang, Chien Lin, Srivalli Boddupalli, Chung-Wei Lin, Sandip Ray

Institutions: National Taiwan University, University of Florida

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

Funders: National Science Foundation, Ministry of Education, Ministry of Science and Technology

OpenAlex ID: W4286285602

FWCI: 0.513

Cites: 32

Cited by: 2

Related to: 10