Near Field iToF LIDAR Depth Improvement from Limited Number of Shots
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Abstract (arXiv)
Indirect Time of Flight LiDARs can indirectly calculate the scene's depth from the phase shift angle between transmitted and received laser signals with amplitudes modulated at a predefined frequency. Unfortunately, this method generates ambiguity in calculated depth when the phase shift angle value exceeds 2π. Current state-of-the-art methods use raw samples generated using two distinct modulation frequencies to overcome this ambiguity problem. However, this comes at the cost of increasing laser components' stress and raising their temperature, which reduces their lifetime and increases power consumption. In our work, we study two different methods to recover the entire depth range of the LiDAR using fewer raw data sample shots from a single modulation frequency with the support of sensor's gray scale output to reduce the laser components' stress and power consumption.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 12 references that are in the map. First posted on arXiv 14 Apr 2023.
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3 of 12 references.
References · 3
- 2017Sparsity Invariant CNNscited by 326
- 2021Near-field Perception for Low-Speed Vehicle Automation using Surround-view Fisheye Camerascited by 24
- 2018Very Power Efficient Neural Time-of-Flightcited by 8
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