Bioinspired Visual Motion Estimation
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Abstract (arXiv)
Visual motion estimation is a computationally intensive, but important task for sighted animals. Replicating the robustness and efficiency of biological visual motion estimation in artificial systems would significantly enhance the capabilities of future robotic agents. 25 years ago, in this very journal, Carver Mead outlined his argument for replicating biological processing in silicon circuits. His vision served as the foundation for the field of neuromorphic engineering, which has experienced a rapid growth in interest over recent years as the ideas and technologies mature. Replicating biological visual sensing was one of the first tasks attempted in the neuromorphic field. In this paper we focus specifically on the task of visual motion estimation. We describe the task itself, present the progression of works from the early first attempts through to the modern day state-of-the-art, and provide an outlook for future directions in the field.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 Oct 2015.
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Citing papers per year: 2023: 2; 2024: 0; 2025: 1.
3 papers.
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- 2025How Robot Dogs See the Unseeable: Improving Visual Interpretability via Peering for Exploratory Robots20 Nov 2025
- 2023Co-learning synaptic delays, weights and adaptation in spiking neural networks12 Sep 2023
- 2023A Dynamic Graph CNN with Cross-Representation Distillation for Event-Based Recognition8 Feb 2023