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

Event Profile

Past Events

Car 489 – 2019
2019
Car #489
Info
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 Length (mm) 2896
Overall Width (mm) 1460
Overall Height (mm) 1163
Wheelbase (mm) 1530
Track Front (mm) 1206
Track Rear (mm) 1180
Weight Front (kg) 108
Weight Rear (kg) 117
Suspension Double wishbone suspension. Push rod actuated horizontally oriented spring and damper.
Tyres 191x53 R10, Hoosier R25B / 191x53 R10, Hoosier R25B
Wheels 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 35 kW per motor
Motor Type AMK DD5-14
Max Motor RPM 20 000
Motor Controller AMK KW26-S5-FSE-4Q
Max System Voltage (V) 554
Electrode Materials LiCoO2
Accumulator Capacity 6.45 kWh
Transmission Ratio Primary 1:15
Driverless System
Processing Units NVIDIA Jetson AGX Xavier
Processing Units FLOPS 11 000
Processing Units Power (W) 30
Cameras 2 Basler Ace Classic acA780-75gc (780x580 px) & 1 SICK 2D vision picoCam I2D-301C (1280x1024 px)
Radar Sensors N/A
LiDAR Sensors 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
DV System Highlights 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
42
19.
-
-
21.
10.
-
-
-
-
-10.00
120.93
2025.08
24
6.
-
-
5.
-
7.
-
3.
-
0.00
339.45
2024.09
9
2.
1.
1.
1.
3.
2.
-
-
-
0.00
408.77
2024.08
27
17.
-
-
15.
9.
9.
-
-
-
0.00
107.55
2024.08
13
10.
9.
4.
4.
-
-
-
-
-
0.00
357.89
2023.08
30
13.
-
-
4.
-
-
-
-
-
0.00
120.00
2023.08
22
15.
9.
6.
5.
-
-
-
-
-
-40.00
356.44
2022.08
22
3.
22.
7.
22.
4.
1.
3.
2.
1.
0.00
597.12
2022.07
9
1.
6.
7.
1.
-
1.
1.
1.
-
0.00
604.49
2022.07
5
1.
3.
3.
3.
2.
3.
2.
1.
-
-20.00
588.80
2021.08
12
12.
9.
-
12.
-
-
-
-
-
-20.00
150.40
2021.08
5
5.
2.
5.
5.
-
-
-
-
-
0.00
157.00
2019.08
20
11.
18.
10.
16.
4.
4.
3.
6.
-
-5.00
275.73
2019.07
8
6.
6.
7.
5.
-
-
-
-
-
0.00
253.98
x 14