Team Details

As of 2022, this class has been integrated into the other two classes.

FS Team Tallinn Driverless

University Tallinn TU UAS
EE Tallinn TU UAS short 382
LocationTallinn, Estonia
Homepagehttps://www.formulastudent.ee/
CV Team FS Team Tallinn
EV Team FS Team Tallinn Electric
Short Linktid.fsg.one/966

Past Events

Car 489 – 2019
2019
Car #489
Info
42x
Formula Student Team Tallinn is based in Estonia and is the only team in our country. The team first came together in 2006 and since then has competed in all the major competitions in Europe and United States. 2019 is the first year the team took up the challenge to compete in the driverless class with the last season's car FEST18.
Engineering Design Priorities:
reliability
Car Specifications
General
Frame Construction CFRP single piece monocoque
Material Rohacell foam (5-20mm core)
Overall L 2896 mm
Overall W 1460 mm
Overall H 1163 mm
Wheelbase 1530 mm
Track (Fr) 1206 mm
Track (Rr) 1180 mm
Weight with 68kg driver (Fr) 108 kg
Weight with 68kg driver (Rr) 117 kg
Suspension Double wishbone suspension. Push rod actuated horizontally oriented spring and damper.
Tyres (Fr / Rr) 191x53 R10, Hoosier R25B / 191x53 R10, Hoosier R25B
Wheels (Fr / Rr) 10x8, 24 mm offset, 3 pc Al Rim / 10x8, 24 mm offset, 3 pc Al Rim
Drive Type Two stage planetary gearbox
Differential 4 wheel drive torque vectoring. Longitudinal -and sideslip control.
Cooling Self designed 3D printed radiators and cooling plates for motors and controllers
Brake System 4 disc brakes, regenerative braking
Electronics Self developed systems include: AMS, ECU, Dashboard
Powertrain
Number of Motors 4
Motor Location FR,FL,RR,RL
Max Motor Power (per motor) 35 kW per motor kW
Motor Type AMK DD5-14
Max Motor RPM (highest) 20 000 rpm
Motor Controller AMK KW26-S5-FSE-4Q
Max System Voltage 554 V
Electrode Materials LiCoO2
Combined Accumulator Capacity 6.45 kWh kWh
Transmission Ratio (Primary) 1:15 : 1
Driverless System
Processing unit(s) NVIDIA Jetson AGX Xavier
Floating Point Operations Per Second of all processing units that are working for the DV system 11 000 GigaFLOPS
Power consumption of all processing units that are working for the DV system 30 W
Camera(s) 2 Basler Ace Classic acA780-75gc (780x580 px) & 1 SICK 2D vision picoCam I2D-301C (1280x1024 px)
Radar sensor(s) N/A
Lidar sensor(s) Ouster OS-1 with 64 lasers. Vertical FOV 33.2°, horizontal FOV 360°, range 0.8 - 120 m
Other sensors SBG Ellipse2-N INS. Accuracies: roll/pitch - 0.1°; heading - 0.5°; velocity - 0.1 m/s; position - 2 m
Highlights of the DV system Self developed artifificial intelligence path planner. Path generator produces random paths and evaluator grades the given trajectory based on car maximum accelerations and decelerations. Best out of 100 paths win. 64 layer LiDAR. Reduntant and calibrated cone detection for vehicle state estimation. Neural network based image recognition.

FS past achievements due to World Ranking Data Base

Date Event Teams Rank BP CM ED DV SP DV AC AX EN EF Pe Total Engine
2025.08
FS DE DV
42
19.
-
-
21.
10.
-
-
-
-
-10.00
120.93
2025.08
FS CZ DV
24
6.
-
-
5.
-
7.
-
3.
-
0.00
339.45
2024.09
FSAE IT DV
9
2.
1.
1.
1.
3.
2.
-
-
-
0.00
408.77
2024.08
FS DE DV
27
17.
-
-
15.
9.
9.
-
-
-
0.00
107.55
2024.08
FS East DV
13
10.
9.
4.
4.
-
-
-
-
-
0.00
357.89
2023.08
FS DE DV
30
13.
-
-
4.
-
-
-
-
-
0.00
120.00
2023.08
FS East DV
22
15.
9.
6.
5.
-
-
-
-
-
-40.00
356.44
2022.08
FS East DV
22
3.
22.
7.
22.
4.
1.
3.
2.
1.
0.00
597.12
2022.07
FSAE IT DV
9
1.
6.
7.
1.
-
1.
1.
1.
-
0.00
604.49
2022.07
FS CZ DV
5
1.
3.
3.
3.
2.
3.
2.
1.
-
-20.00
588.80
2021.08
FS East DV
12
12.
9.
-
12.
-
-
-
-
-
-20.00
150.40
2021.08
FS CZ DV
5
5.
2.
5.
5.
-
-
-
-
-
0.00
157.00
2019.08
FS DE DV
20
11.
18.
10.
16.
4.
4.
3.
6.
-
-5.00
275.73
2019.07
FSAE IT DV
8
6.
6.
7.
5.
-
-
-
-
-
0.00
253.98
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