Work

Research Progress on Multi-Modal Fusion Object Detection Algorithms for Autonomous Driving: A Review

Year: 2025

Type: article

Abstract: As the number and complexity of sensors in autonomous vehicles continue to rise, multimodal fusion-based object detection algorithms are increasingly being used to detect 3D environmental information, significantly advancing ... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.063205

Authors: Peicheng Shi, Li Yang, Xinlong Dong, Heng Qi, Aixi Yang

Institutions: Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Anhui Polytechnic University, Zhejiang University

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

Funder: Natural Science Foundation of Anhui Province

Award: G945863755