Data Filtering Method Korea Automobile Testing & Research Institute

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Presentation transcript:

Data Filtering Method Korea Automobile Testing & Research Institute Informal Document - ACSF-15-05 Data Filtering Method Korea Automobile Testing & Research Institute Automated Driving Research Office

Proposed draft of Data Filtering requirement Paragraph 5.6.2.1.3 and 5.6.4.4., amend to read : “5.6.2.1.3 Lateral acceleration ------------------------------------------------------------------------------------------------------------------------------------- (c) The moving average over half a second of the lateral jerk generated by the system shall not exceed 5m/s3” “5.6.4.4 Lateral acceleration The moving average over half a second of the lateral jerk generated by the system shall not exceed 5m/s3” Annex 8, Insert a new paragraph 2.5, to read ; “2.5 Data sampling and Filtering 2.5.1 All data is to be sampled at 100Hz. 2.5.2 Filter the measured data as following; 2.5.2.1 Lateral acceleration with a 6-pole phaseless Butterworth filter with a cut off frequency of 10Hz 2.5.2.2 Lateral jerk with a one-pass 200ms moving average technique with values that are performed using differential with respect to time of measurement of filtered lateral acceleration of 2.5.2.1. 2.5.2.3 Unless otherwise specified, the other data are not filtered and are used in their raw state. 2.5.2.4 An alternative filtering method may be allowed for type approval testing, provided it is agreed between the manufacturer and the Technical Service.”

Justification of filtering Sampling rate 1) signal analysis frequency of measured(raw) data : 2.5Hz - define period signal for raw data 2) measured(raw) signal * 2 : 5Hz - 5Hz passband frequency defined 3) Cutoff Frequency(fc) : 10Hz 4) Sampling rate : 100Hz - Signal( fc * 10)

Justification of filtering definition of filter 1) selecting Butterworth filter by purpose - the smallest phase - maximally flat magnitude in passband - to easily apply for filter by formula 2) calculation of damping ratio - dB per Octave - transforms Vout to dB(20 log(V out/V in) = 40 dB) * 1V(Vin) → 0.01V(Vout) 3) determination of filter order - 36 dB : 6 Pole * 12dB → 2Pole, 24dB→ 4Pole, 36dB → 6Pole , 48dB → 8Pole Ratio of Vout/Vin 20log(Vout/Vin)(dB) 0.000001 -120 0.00001 -100 0.0001 -80 0.001 -60 0.01 -40 0.1 -20 0.501 -6 0.707 -3 1

Application of filter to raw data (lateral acceleration) Lane Change Manoeuvre(by human driver) - 6 pole Bf filter with fc = 2/6/10Hz

Application of filter to raw data (lateral acceleration) LKA activation in straight road - 6 pole Bf filter with fc = 2/6/10Hz

Application of filter to raw data (lateral acceleration) LKA activation in curve road - 6 pole Bf filter with fc = 2/6/10Hz

Application of moving average filter to filtered lateral acc Application of moving average filter to filtered lateral acc.(lateral jerk) Lane Change Manoeuvre - moving average 100/200/500ms using deferential with filtered acceleration

Application of moving average filter to filtered lateral acc Application of moving average filter to filtered lateral acc.(lateral jerk) LKA activation in straight road - moving average 100/200/500ms using deferential with filtered acceleration

Application of moving average filter to filtered lateral acc Application of moving average filter to filtered lateral acc.(lateral jerk) LKA activation in curve road - moving average 100/200/500ms using deferential with filtered acceleration