Work

LoT-nuScenes: A Virtual Long-Tail Scenario Dataset for Parallel Vision and Parallel Vehicles

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Digital Twins and Parallel Intelligence (DTPI)

DOI: 10.1109/dtpi61353.2024.10778808

Authors: Yang Mi, Yunjie Ji, Keqiu Wang, Yadong Wang, Tianyu Shen, Kunfeng Wang

Institution: Beijing University of Chemical Technology

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: closed

Funder: National Natural Science Foundation of China

OpenAlex ID: W4405305148

FWCI: 1.676

Cites: 20

Cited by: 3

Related to: 10