Presentation + Paper
23 April 2020 Accuracy of echo detection using differentiation for compact LIDAR implementation
Author Affiliations +
Abstract
Lidars are gaining popularity in the automotive domain, especially in the field of autonomous driving systems. Development of multi-channel, monolithic Lidars can reduce the system cost and size for better integration into automobile and/or robotic components. Since Lidars work on the principle of time of flight, an important function of the Lidar system is to precisely detect the time of arrival of the return pulse. A method is being discussed in this paper to detect the peak location in the Lidar return signal using differentiation. With a single chip solution, the proposed method can potentially reduce the footprint of the analog signal chain by 30%, but with a performance trade-off for signals with low SNR. The distance measurement accuracy of this method is being compared to the standard methods which use high-resolution, high-speed ADCs.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sharath Patil, Darrell Livezey, Saad Ahmad, Bhanu Singh, and Martin Margala "Accuracy of echo detection using differentiation for compact LIDAR implementation", Proc. SPIE 11415, Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure 2020, 114150D (23 April 2020); https://doi.org/10.1117/12.2558590
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Signal to noise ratio

LIDAR

Signal processing

Signal detection

Distance measurement

Sensors

Analog electronics

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