Team Details
As of 2022, this class has been integrated into the other two classes.
Elbflorace Driverless
| University | Technische Universität Dresden
DE Dresden TU short 83 |
|---|---|
| Location | Dresden, Germany |
| Homepage | https://elbflorace.de/ |
| Social Media |
  
|
| CV Team | Elbflorace |
| EV Team | ELBFLORACE e.V. |
| Short Link | tid.fsg.one/838 |
Event Profile
Past Events
2018
Info
This is the first season for Elbflorace Driverless. Because of that, we wanted to keep everything simple in order to have a solid basis for coming years. Our main focus is therefore on reliability and sustainability regarding a) the vehicles autonomous system, e.g. path planning and mapping and b) on the vehicles electric system.
Engineering Design Priorities:
Reliability
Safety
Simplicity
Car Specifications
General
| Frame Construction | full size CFRP Monocoque |
|---|---|
| Material | Pre-impregnated CFRP with Aluminium honeycomb as core material |
| Overall Length (mm) | 2955 |
| Overall Width (mm) | 1407 |
| Overall Height (mm) | 1146 |
| Wheelbase (mm) | 1550 |
| Track Front (mm) | 1200 |
| Track Rear (mm) | 1150 |
| Weight Front (kg) | 110 |
| Weight Rear (kg) | 110 |
| Suspension | Double unequal length A-Arm, Pushrod |
| Tyres | Continental |
| Wheels | 7x13, 30mm offset, Mg rim |
| Drive Type | 1 stage planetary gear integrated to upr |
| Cooling | two seperated cooling circles for motors and inverters, Radiators mounted at side |
| Brake System | 4-Disk system, self developed rotors and self developed front brake caliper |
| Electronics | selfdesigned Live-Telemetry System via WLAN, Kalman filter for determining velocity |
Powertrain
| Number of Motors | 2 |
|---|---|
| Motor Location | Rear |
| Max Motor Power | 35kW |
| Motor Type | AMK |
| Max Motor RPM | 15500 |
| Motor Controller | AMK Inverter |
| Max System Voltage (V) | 600 |
| Electrode Materials | LiCoO2 |
| Accumulator Capacity | 7 |
| Transmission Ratio Primary | 1:35.32 |
Driverless System
| Processing Units | Teensy 3.2, MicroAutoBox with Embedded PC |
|---|---|
| Processing Units FLOPS | 345.60 |
| Processing Units Power (W) | 48 |
| LiDAR Sensors | Velodyne Puck HiRes |
| DV System Highlights | Optimized version of Euclidean Clustering, 3d-Cone Detection using Machine Learning, recursive path planning using Delaunay Triangulation |
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 |
7. |
- |
- |
6. |
6. |
- |
11. |
5. |
- |
0.00 |
370.08 |
||
| 2025.08 | 24 |
10. |
- |
- |
8. |
- |
- |
- |
- |
- |
0.00 |
249.90 |
||
| 2024.08 | 27 |
4. |
- |
- |
10. |
1. |
1. |
1. |
8. |
- |
0.00 |
365.00 |
||
| 2024.08 | 13 |
4. |
8. |
6. |
5. |
3. |
- |
2. |
2. |
- |
-25.00 |
765.75 |
||
| 2023.08 | 30 |
20. |
- |
- |
18. |
- |
- |
- |
- |
- |
0.00 |
90.00 |
||
| 2023.08 | 22 |
3. |
2. |
9. |
15. |
2. |
6. |
5. |
2. |
2. |
-20.00 |
729.28 |
||
| 2022.09 | 10 |
4. |
3. |
5. |
4. |
2. |
3. |
3. |
- |
- |
0.00 |
440.10 |
||
| 2022.08 | 19 |
14. |
- |
- |
9. |
- |
- |
- |
- |
- |
0.00 |
105.00 |
||
| 2021.08 | 12 |
6. |
5. |
3. |
4. |
- |
- |
- |
- |
- |
0.00 |
421.20 |
||
| 2019.07 | 14 |
13. |
13. |
12. |
13. |
- |
- |
- |
- |
- |
0.00 |
249.20 |
||
| 2018.08 | 17 |
13. |
2. |
11. |
14. |
- |
- |
- |
- |
- |
-15.00 |
213.00 |
||
| 2018.07 | 6 |
4. |
4. |
4. |
4. |
- |
- |
- |
- |
- |
-110.00 |
163.14 |
||
| x 12 | ||||||||||||||