Title | ||
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Inter-Frame Smart-Accumulation Technique for Long-Range and High-Pixel Resolution LiDAR |
Abstract | ||
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To realize 200-m-range 0.1-degree-angular-resolution LiDAR, which is essential for a reliable self-driving, we propose advanced SAT (Smart Accumulation Technique [1]) algorithm, Inter-frame SAT (I-SAT). I-SAT adds only the returned peaks as distance candidates, within the time window estimated from the distance of the previous frame and the target's motion. Compared to conventional methods that directly average the distance or the ADC results of the previous frame, I-SAT can enhance both a measurable distance and an angular resolution, while reducing both the hardware penalty and measurement errors due to target motion. According to the simulation and measurement results, I-SAT improves long range resolution by more than 2x and increases measurable range with the same resolution by 22% compared with SAT and de-noising [3]. The hardware penalty is only 2% of conventional ADC averaging. (Keywords: LiDAR, de-noising, and averaging) |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/CoolChips.2019.8721340 | 2019 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS) |
Keywords | Field | DocType |
Reliability,Laser radar,Noise reduction,Hardware,Motion measurement,Motorcycles,Reflection | Remote sensing,Lidar,Inter frame,Geology,Image resolution | Conference |
ISSN | ISBN | Citations |
2473-4683 | 978-1-7281-1749-2 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ken Tanabe | 1 | 4 | 1.28 |
Hiroshi Kubota | 2 | 11 | 2.00 |
Akihide Sai | 3 | 20 | 8.25 |
Nobu Matsumoto | 4 | 0 | 0.68 |