Work

Constructing Obstacle Maps for Highly Automated Vehicles Using the Extended Kalman Filter

Year: 2024

Type: conference-paper

Source: International Russian Automation Conference (RusAutoCon)

DOI: 10.1109/rusautocon61949.2024.10694190

Author: Imil Khairullin

Institution: Ulyanovsk State Technical University

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: closed

Funder: Russian Science Foundation

Award: G3186688443

OpenAlex ID: W4403125601

FWCI: 1.118

Cites: 13

Cited by: 2

Related to: 10