ArticleSensors (Basel, Switzerland)2018
Influence of Waveform Characteristics on LiDAR Ranging Accuracy and Precision.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Leveraging LiDAR-Based Simulations to Quantify the Complexity of the Static Environment for Autonomous Vehicles in Rural Settings.Sensors (Basel, Switzerland) · 2024Article
- A random optical parametric oscillator.Nature communications · 2023Article
- The Short-Range, High-Accuracy Compact Pulsed Laser Ranging System.Sensors (Basel, Switzerland) · 2022Article
- An Entropy-Based Anti-Noise Method for Reducing Ranging Error in Photon Counting Lidar.Entropy (Basel, Switzerland) · 2021Article
- Performance of Mobile LiDAR in Real Road Driving Conditions.Sensors (Basel, Switzerland) · 2021Article
- An 8.8 ps RMS Resolution Time-To-Digital Converter Implemented in a 60 nm FPGA with Real-Time Temperature Correction.Sensors (Basel, Switzerland) · 2020Article
- Development of a Sensor to Measure Physician Consultation Times.Sensors (Basel, Switzerland) · 2019Article
- A Successive Approximation Time-to-Digital Converter with Single Set of Delay Lines for Time Interval Measurements.Sensors (Basel, Switzerland) · 2019Article
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Authors and funding
5 authors.
Funding
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Abstract
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.
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