Real-Time Karting Performance Monitoring via DAQ System
with RTK-Enhanced GPS
Saeid Edriss
1a
, Paolo Boatto
2
, Giuseppe Annino
3b
, Francesca Campoli
1c
, Lucio Caprioli
1d
,
Nunzio Lanotte
4e
, Emilio Panichi
1f
, Cristian Romagnoli
4g
and Vincenzo Bonaiuto
1h
1
Sports Engineering Lab, Tor Vergata University, Rome, Italy
2
APLAB, Rome, Italy
3
Department of Medicine & Surgery, Rome Tor Vergata University, Rome, Italy
4
Department of Human Science & Promotion of Quality of Life, San Raffaele University, Rome, Italy
Keywords: Digital Acquisition System, Karting, Telemetry, Performance Assessment, Real Time Kinematic.
Abstract: Measuring instantaneous speed and engine parameters and accurately assessing trajectories is paramount in
evaluating racing performance in motorsports. DAQuino is a general-purpose acquisition system that can
configure these specific sports applications. This paper deals with an application of such a DAQ, based on
RTK-enhanced GPS, suited for the telemetry acquisition of a kart’s parameters and driver performance
assessment. The proposed system measuring the kart’s position with a maximum error of a few centimetres
can assess the effectiveness of the trajectories.
1 INTRODUCTION
Karting, which had its inception in the United States
during the 1950s, has steadily risen to prominence as
a widely embraced motorsport discipline
(Chaldanbayev, 2022). This thrilling form of racing
centres around competitive events featuring open-
wheeled vehicles characterized by their absence of
bodywork, unforgiving solid suspension, and a fixed
differential (Figure 1). As with many sporting
endeavours, karting operates within a comprehensive
framework of rules and regulations, meticulously
crafted to safeguard fair competition, and uphold the
sport's fundamental integrity (Nakamura et al., 2020).
Governing bodies operating at various echelons,
ranging from national bodies to international
federations, meticulously enforce these regulations.
These entities undertake the essential task of
overseeing the sport, ensuring conformity with
a
https://orcid.org/0009-0000-0224-8294
b
https://orcid.org/0000-0001-8578-6046
c
https://orcid.org/0009-0004-1342-5881
d
https://orcid.org/0009-0005-4049-5225
e
https://orcid.org/0009-0009-6669-8089
f
https://orcid.org/0009-0003-6591-1147
g
https://orcid.org/0000-0003-0904-634X
h
https://orcid.org/0000-0002-2328-4793
standardized rules, and fostering an equitable
environment for all participants (Bucur, 2019).
Figure 1: Kart vehicle.
The physical demands imposed by the world of
karting necessitate that drivers maintain a state of
82
Edriss, S., Boatto, P., Annino, G., Campoli, F., Caprioli, L., Lanotte, N., Panichi, E., Romagnoli, C. and Bonaiuto, V.
Real-Time Karting Performance Monitoring via DAQ System with RTK-Enhanced GPS.
DOI: 10.5220/0012186900003587
In Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support (icSPORTS 2023), pages 82-90
ISBN: 978-989-758-673-6; ISSN: 2184-3201
Copyright © 2023 by SCITEPRESS Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)
exceptional endurance and physical fitness. The
remarkable acceleration encountered during karting
races subjects’ drivers to substantial G-forces,
exerting significant strain on their bodies.
Consequently, the cultivation of superior physical
endurance, stamina, and muscular strength assumes
paramount importance in the pursuit of elevated
performance within the realm of karting
(Potkanowicz & Mendel, 2013). To cope with their
physical condition, drivers engage in cardiovascular
exercises, strength training, and neck exercises to
enhance their stamina, muscle strength, and neck
stability (Matsumura et al., 2011; Yamakoshi et al.,
2010).
Furthermore, karting also requires psychological
and concentration abilities as drivers need to make
split-second decisions, adapt to changes in race
conditions such as weather and surface, vibration
impacts, and strategically respond to the actions of
their opponents. Mental strategies play a vital role in
karting, allowing drivers to stay focused, make quick
and effective decisions, and remain resilient in
challenging situations (Iannuzzi et al., 2018;
Yamakoshi et al., 2010).
Such vehicles can reach more than 200 km/h
speeds depending on the type and class. Usually, they
are powered by two-stroke gasoline engines ranging
from 120 cc (junior classes) up to 250 cc (Super-kart
class). Furthermore, in amateur classes, it is common
to find a notable absence of a gearbox, further
simplifying the operation and enhancing accessibility
for newcomers to the sport. Combining these unique
features and characteristics sets karting apart as a
distinct and exciting branch of motorsports (Calderón
et al., 2013; Hruska et al., 2017; Lot & Dal Bianco,
2016).
In the realm of modern sports analysis, precision
and real-time data acquisition have become
paramount for athletes and enthusiasts alike. In this
article, we delve into the innovative adaptation of the
DAQuino Digital Acquisition Board, a multipurpose
data acquisition system (Bonaiuto et al., 2018) that
can be tailorable for the specific sport application and
that has been already successfully employed in other
sport applications as kayaking (Bonaiuto et al., 2020)
and swimming (Lanotte et al., 2018). In this case,
such a system has been tailored to attach to the unique
requisites of karting applications. Therefore, the
comprehensive assessment of trajectory data and real-
time speed metrics, coupled with the precise insights
garnered from engine telemetry, emerges as an
invaluable tool in the critical evaluation of racing
performance.
In the ever-evolving world of sports and
performance analysis, precision data acquisition has
emerged as the cornerstone of athletic excellence
(Kirkbride, 2013). In this era of cutting-edge
technology, where every fraction of a second and
every degree of movement can mean the difference
between victory and defeat (Hughes et al., 2019;
McGarry, 2009). Born from a previous exploration of
its potential, DAQuino has undergone a
transformation tailored to the unique requirements of
karting applications. But its significance extends far
beyond the racetrack, offering a versatile toolkit for
sports and activities where trajectory tracking, and
data-driven insights hold the key to unlocking true
potential (Bonaiuto et al., 2020).
Beyond the karting circuit, the applications of this
system are far-reaching. Real-time kinematics (RTK)
technology, integrated into the DAQuino system,
revolutionizes precise location measurements. RTK
GPS, when paired with an RTK base station, provides
highly accurate positioning by incorporating real-
time correction data into Global navigation satellite
system (GNSS) receivers (Moon et al., 2018; Ng et
al., 2018). This technology has found use in a diverse
range of sports, including skiing and role skiing,
cycling, and urban transport, where it enhances
performance analysis, safety measures, and
navigation capabilities (Desai et al., 2021; Ligocki et
al., 2020; Moon et al., 2018; Supej, 2010).
Within the confines of this scholarly paper, we
introduce a tailored and meticulously engineered
iteration of an acquisition system, purpose-built
specifically to cater to the unique requirements of
karting vehicles. This sophisticated system has been
thoughtfully crafted to facilitate the seamless
collection and subsequent in-depth analysis of
pertinent data emanating from the kart, thereby
making a significant contribution to the enhancement
of performance within the domain of karting.
2 DATA ACQUISITION SYSTEM
The DAQuino Digital Acquisition Board consists of
a master node that can host GPS, Inertial
Measurement Unit (IMU), and other kinds of sensors.
Furthermore, via a custom radio channel, the system
can be connected to up to eight slave boards where
specific sensors can be hosted.
For this application, DAQuino (Figure 2) has been
customized by equipping it with proper transducers
for the measurement of engine speed (revolutions per
minute – RPM – at a sampling rate of 25 Hz) and the
temperature of both cooling liquid (1 Hz) and exhaust
Real-Time Karting Performance Monitoring via DAQ System with RTK-Enhanced GPS
83
Figure 2: Block scheme of the DAQuino system customized for karting.
gases (10 Hz). The IMU (Nine DoF – Degree of
Freedom) has been set at a sampling frequency of 200
Hz, allowing a reasonable estimation of the slip
angles too. Figure 3 illustrates the hardware of the
DAQuino system that is located on the kart in front of
the driver’s seat.
Some of the acquired data (e.g., instantaneous
speed, lap time, cooling liquid temperature, etc.) are
made available to the driver through a webpage on a
small tablet that can be placed on the steering wheel
(Figure 4) and that communicates with the system
installed onboard the kart via a Wi-Fi link.
All the data acquired by the system are stored in
an onboard SD memory and they can be downloaded
to a computer located for example in the paddock via
a Wi-Fi link at each lap for an immediate assessment
of the race performances.
A special software program has been properly
designed to post-process all the data acquired on the
kart and show the relative results. Significant
parameters calculated by the developed software
include, among the others, lap time, speed in specific
sectors, lap distance, average, top and bottom speed
for each lap together with the engine speed, tyres slip
angles and exhausted gas and cooling water
temperatures.
Data from different laps can be superposed for
direct comparison and they can be exported to a
virtual globe software (e.g., Google Earth), for
immediate visualization of the trajectories of each lap
and the analysis of the telemetry in the different
sections of the circuit.
Figure 3: The DAQuino system that is tailored and located
in front of the kart driver’s seat.
Moreover, the installed GPS device (ZED-F9P by
uBlox Switzerland) is a high performance multi-
GNSS multi frequency device that exploits multi-
band RTK (Gurusinghe et al., 2002) technologies for
centimetres-level accuracy.
A comprehensive approach was employed to
capture and record the instantaneous values of critical
performance metrics throughout each lap's entirety.
icSPORTS 2023 - 11th International Conference on Sport Sciences Research and Technology Support
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Figure 4: Driver monitor mounted over the steer to
immediate view of some driving parameters.
The precise measurement of lap duration,
displacement, and average velocity, contributing to a
holistic understanding of the kart's dynamic
performance characteristics and race dynamics were
measured (Table 1). Additionally, this encompassed
the real-time measurement of speed, quantified in
kilometres per hour, engine RPM, as well as the
precise monitoring of water temperature and exhaust
gas temperature, expressed in degrees Celsius (Table
2). This meticulous data collection process enabled a
detailed examination of the kart's dynamic
performance characteristics, offering a nuanced
insight into its behaviour on the track.
To enhance the analytical capabilities of this
research, advanced software tools were harnessed to
consolidate and visualize the acquired datasets. This
software provided the means to amalgamate the
diverse data streams into a cohesive, informative
figure. Notably, the software's interactive
functionality permitted users to delve into the data
with remarkable precision. With a simple click on the
tracked trajectory line corresponding to each lap,
investigators were empowered to access specific data
points at precise moments of interest (Figure 5). This
study feature facilitated an in-depth exploration of
performance nuances, bolstering the accuracy and
efficiency of our research endeavours and offering a
dynamic and user-friendly approach to data analysis.
Table 1: Measurement of race duration (seconds), total displacement (meters), and average speed (km/h) for each lap.
lap Time [s] Distance [m] Average speed [km/h]
1 49.242 796.3 58.2
2 43.143 795.8 66.4
3 42.076 797.9 68.3
4 41.508 797.1 69.1
5 41.255 797.3 69.6
6 41.189 799.0 69.8
7 40.688 796.8 70.5
8 40.921 799.1 70.3
9 40.944 801.0 70.4
10 40.741 799.5 70.6
Table 2: Instantaneous values were recorded for each minimum and maximum speed (km/h), RPM, water temperature, and
exhaust gas temperature (in degrees Celsius) for each lap.
lap
Min lap
Speed [km/h]
Max lap
Speed[km/h]
Min water
T [°C]
Max water
T [°C]
Min exhaust
Gas T[°C]
Max exhaust
Gas T[°C]
Min RPM Max RPM
1 38.4 88.2 51 52 342 621 6192 15629
2 39.8 95.1 50 53 281 637 7513 15752
3 41.8 96.9 50 51 289 622 7119 15637
4 43.7 97.4 50 52 311 629 7616 15649
5 43.5 97.9 48 49 322 623 7544 15710
6 44.4 98.2 49 50 346 606 7689 15588
7 44.8 98.3 48 50 313 608 7628 15669
8 43.8 98.4 51 52 347 611 7072 15864
9 44.4 98.6 51 52 328 641 7363 15818
10 44.5 98.1 51 52 0 620 7486 15764
Real-Time Karting Performance Monitoring via DAQ System with RTK-Enhanced GPS
85
Figure 5: The kart’s trajectory (tracking magenta line) was recorded by the system with some parameters recorded by the
system in specific track points: the time obtained for each subsection of the track (yellow), the kart’s speed in some random
track points (red), RPM (green), water temperature (cyan), exhaust gas temperature (orange).
Figure 6: Speed data for kart across two laps (the 1
st
lap in black and the 5
th
lap in blue).
The power of specialized software to not only collect
and store a wealth of performance data but also to
transform it into meaningful visual representations.
This facilitates the design and generation of dynamic
graphs for each of the monitored parameters over
time. One of its standout features is the ability to
select specific laps for comparative analysis. This
means that researchers have the flexibility to choose
laps of interest and directly compare the performance
metrics they wish to scrutinize. Figure 6, for instance,
illustrates the variation in vehicle speed during the first
and the fifth laps, providing a visual representation of
how speed evolves throughout the race.
icSPORTS 2023 - 11th International Conference on Sport Sciences Research and Technology Support
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Figure 7: RPM data for kart across two laps (the 1
st
lap 1 in blue and the 10
th
lap in red).
Figure 8: Slip angle data for kart across two laps (the 3rd lap in black and the 8th lap in blue).
Similarly, Figure 7 shows the RPM values in the
first and tenth laps, allowing for a direct comparison
of engine performance between these two specific
laps in the race.
Another ability of the system is to measure the
tyres’ slip angle that most often occurs during
changing the directions and curves. This information
aids to the driver’s ability to control the kart and
understand the breaking force to observe the vehicle
performance. In Figure 8 the variation of tyres’ side-
slip angle over the distance of the circuit is depicted,
while Figure 9 shows some technical details of this
tyres’ feature and the applied force on the tyre in
motion and the effect that can occur the slip angle.
Real-Time Karting Performance Monitoring via DAQ System with RTK-Enhanced GPS
87
Figure 9: The parameters that have effect to occur slip angle
in the axes of the tyres in motions.
These illustrative figures not only enhance the
reader's understanding of our research but also
underscore the valuable capabilities of the software in
generating customized visualizations for in-depth
analysis.
3 REAL-TIME KINEMATICS
RTK has emerged as a promising technology that
offers precise location measurements. This
technology utilizes a family of low-cost GPS
navigation receivers, which, when connected to an
RTK base station, can achieve highly accurate
positioning. The key advantage of RTK GPS is its
ability to incorporate correction data into the GNSS
receivers, significantly improving, in this way, their
position accuracy. The RTK base station plays a
crucial role as a stationary GNSS receiver with a
known location to receive correction data via
receivers. The RTK technology offers a significant
improvement over traditional GPS systems by
providing real-time correction data. With an RTK
base station within a radius of approximately 40 km,
the RTK rover can benefit from high-precision
positioning capabilities (Broekman & Gräbe, 2021;
Skoglund et al., 2016).
RTK GPS technology has demonstrated
beneficial use in outdoor sports such as Skiing and
cycling. RTK GPS enables detailed slope mapping
and grooming, allowing cyclists to analyse their
performance on different terrains and optimize their
training and enhance safety through avalanche
detection systems and provide accurate navigation for
skiers, particularly in challenging mountainous
environments (Sharma et al., 2018; Skaloud et al.,
2004; Supej, 2010). Moreover, in urban transport, the
application of RTK GPS for vehicle tracking is
beneficial for studying factors such as rapid
acceleration and deceleration, helping to improve
transportation systems and optimize traffic flow
(Supej & Čuk, 2014). These examples highlight the
diverse range of sports and activities where RTK GPS
technology is proving valuable in terms of
performance analysis, safety enhancement, and
navigation in sports. Its refresh rate has been set to
25Hz. The onboard tablet is connected via a 4G data
link to an NTRIP Server (Networked Transport of
RTCM via Internet Protocol) to download the
parameters useful for the position correction that are
transmitted to the GPS device via a Bluetooth radio
link to implement the embedded RTK procedures.
Figure 10 illustrates two distinct trajectories
derived from identical GPS data. The first trajectory,
depicted in red, shows the results when the Real-Time
Kinematic (RTK) correction system is operational,
while the second trajectory, represented in yellow,
demonstrates the outcome when this system is
intentionally deactivated.
4 CONCLUSIONS
The paper introduced an innovative adaptation of the
DAQuino system, meticulously tailored to address
the specific requisites of karting applications. This
enhanced system, equipped with precision sensors, is
adept at capturing critical performance metrics. These
encompass the measurement of motor RPM, the
monitoring of temperature levels in both the cooling
liquid and exhaust gases, and the comprehensive
acquisition of kinematic data through a cutting-edge
9 DoF IMU. The utilization of this IMU facilitates the
estimation of slip angles, a pivotal parameter in
karting performance analysis.
Furthermore, the system boasts a GPS
component, bolstered by an RTK position correction
mechanism, ensuring the retrieval of position data
with centimetre-level accuracy. The incorporation of
these advanced features, coupled with an
impressively high data update rate, renders this
system eminently suitable for a spectrum of sporting
applications where precise trajectory tracking holds
paramount importance. Examples of such sports
encompass but are not limited to canoe slalom, skiing,
cycling, and more, where the quest for accuracy in
tracing and analysing trajectories stands as a critical
component of performance assessment and
improvement.
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Figure 10: Trajectories recorded by the system differentiate between those acquired with RTK correction (in red) and those
obtained without it (in yellow).
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