Work

Vehicle Detection and Tracking in Adverse Weather Using a Deep Learning Framework

Year: 2020

Type: article

Source: IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/tits.2020.3014013

Authors: M. Hassaballah, Mourad A. Kenk, Khan Muhammad, Shervin Minaee

Institutions: South Valley University, Sejong University, Sungkyunkwan University, Snap (United States)

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

Funder: Ministry of Science and ICT, South Korea

OpenAlex ID: W3083017137

FWCI: 10.03

Cites: 55

Cited by: 287

Related to: 10