Authors: MReza Alipour Sormoli, Mehrdad Dianati, Sajjad Mozaffari, Roger woodman

Published on: March 26, 2024

Impact Score: 7.6

Arxiv code: Arxiv:2403.17779

Summary

• What is new: A novel Detection and Tracking of Moving Objects (DATMO) technique for AVs based on an optical flow technique, improving computational efficiency and accuracy.
• Why this is important: High computational costs and deteriorating accuracy in velocity estimation of surrounding moving objects in AV perception systems using traditional ICP techniques.
• What the research proposes: An innovative DATMO approach utilizing optical flow technique, vector calculus theories for spatiotemporal continuity, and comprehensive testing on both synthetic and real-world data.
• Results: The proposed DATMO technique demonstrated superior estimation accuracy and processing time across a wide range of relative velocities, with detailed evaluation on its sensitivity to various parameters.

Technical Details

Technological frameworks used: nan

Models used: Optical flow technique, vector calculus theories

Data used: Synthetic and real-world data

Potential Impact

Automotive industry, particularly manufacturers and developers of autonomous vehicles, and AV technology suppliers could significantly benefit from these insights.

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