Influence of Waveform Characteristics on LiDAR Ranging Accuracy and Precision
Time of flight (TOF) based light detection and ranging (LiDAR) is a technology for calculating distance between start/stop signals of time of flight. In lab-built LiDAR, two ranging systems for measuring flying time between start/stop signals include time-to-digital converter (TDC) that counts time...
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| Format: | Article |
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MDPI AG
2018-04-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/18/4/1156 |
| _version_ | 1811307431184039936 |
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| author | Xiaolu Li Bingwei Yang Xinhao Xie Duan Li Lijun Xu |
| author_facet | Xiaolu Li Bingwei Yang Xinhao Xie Duan Li Lijun Xu |
| author_sort | Xiaolu Li |
| collection | DOAJ |
| description | Time of flight (TOF) based light detection and ranging (LiDAR) is a technology for calculating distance between start/stop signals of time of flight. In lab-built LiDAR, two ranging systems for measuring flying time between start/stop signals include time-to-digital converter (TDC) that counts time between trigger signals and analog-to-digital converter (ADC) that processes the sampled start/stop pulses waveform for time estimation. We study the influence of waveform characteristics on range accuracy and precision of two kinds of ranging system. Comparing waveform based ranging (WR) with analog discrete return system based ranging (AR), a peak detection method (WR-PK) shows the best ranging performance because of less execution time, high ranging accuracy, and stable precision. Based on a novel statistic mathematical method maximal information coefficient (MIC), WR-PK precision has a high linear relationship with the received pulse width standard deviation. Thus keeping the received pulse width of measuring a constant distance as stable as possible can improve ranging precision. |
| first_indexed | 2024-04-13T09:04:16Z |
| format | Article |
| id | doaj.art-5936bdac786b48fbaa7f0ce868242efb |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T09:04:16Z |
| publishDate | 2018-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-5936bdac786b48fbaa7f0ce868242efb2022-12-22T02:53:02ZengMDPI AGSensors1424-82202018-04-01184115610.3390/s18041156s18041156Influence of Waveform Characteristics on LiDAR Ranging Accuracy and PrecisionXiaolu Li0Bingwei Yang1Xinhao Xie2Duan Li3Lijun Xu4School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, ChinaSchool of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, ChinaSchool of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, ChinaSchool of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, ChinaSchool of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, ChinaTime of flight (TOF) based light detection and ranging (LiDAR) is a technology for calculating distance between start/stop signals of time of flight. In lab-built LiDAR, two ranging systems for measuring flying time between start/stop signals include time-to-digital converter (TDC) that counts time between trigger signals and analog-to-digital converter (ADC) that processes the sampled start/stop pulses waveform for time estimation. We study the influence of waveform characteristics on range accuracy and precision of two kinds of ranging system. Comparing waveform based ranging (WR) with analog discrete return system based ranging (AR), a peak detection method (WR-PK) shows the best ranging performance because of less execution time, high ranging accuracy, and stable precision. Based on a novel statistic mathematical method maximal information coefficient (MIC), WR-PK precision has a high linear relationship with the received pulse width standard deviation. Thus keeping the received pulse width of measuring a constant distance as stable as possible can improve ranging precision.http://www.mdpi.com/1424-8220/18/4/1156LiDAR rangingaccuracyprecisionwaveform characteristic |
| spellingShingle | Xiaolu Li Bingwei Yang Xinhao Xie Duan Li Lijun Xu Influence of Waveform Characteristics on LiDAR Ranging Accuracy and Precision Sensors LiDAR ranging accuracy precision waveform characteristic |
| title | Influence of Waveform Characteristics on LiDAR Ranging Accuracy and Precision |
| title_full | Influence of Waveform Characteristics on LiDAR Ranging Accuracy and Precision |
| title_fullStr | Influence of Waveform Characteristics on LiDAR Ranging Accuracy and Precision |
| title_full_unstemmed | Influence of Waveform Characteristics on LiDAR Ranging Accuracy and Precision |
| title_short | Influence of Waveform Characteristics on LiDAR Ranging Accuracy and Precision |
| title_sort | influence of waveform characteristics on lidar ranging accuracy and precision |
| topic | LiDAR ranging accuracy precision waveform characteristic |
| url | http://www.mdpi.com/1424-8220/18/4/1156 |
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