Transformer-Based Optimized Multimodal Fusion for 3D Object Detection in Autonomous Driving

Transformer-Based Optimized Multimodal Fusion for 3D Object Detection in Autonomous Driving

Accurate 3D object detection is vital for autonomous driving since it facilitates accurate perception of the environment through multiple sensors. Although cameras can capture detailed color and texture features, they have limitations regarding depth information. Additionally, they can struggle unde...

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Bibliographic Details
Main Authors: Simegnew Yihunie Alaba, John E. Ball
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Autonomous driving
LiDAR
multimodal fusion
network compression
pruning
quantization
Online Access:https://ieeexplore.ieee.org/document/10493018/

Internet

https://ieeexplore.ieee.org/document/10493018/

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