Work

EES: A Data-Driven End-to-End Escorting System via Spatiotemporal Feature Fusion

Year: 2025

Type: article

Source: IEEE Robotics and Automation Letters

DOI: 10.1109/lra.2025.3617728

Authors: Youjin Yu, Junxiang Li, Bowen Li, Tao Wu, Huijing Zhao

Institutions: National University of Defense Technology, Peking University

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

Awards: G1003077060, G5975291901, G8354495100

OpenAlex ID: W7084582542

FWCI:

Cites: 20

Cited by:

Related to: