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 |
Past Events
2018
Info
11x
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 L | 2955 mm |
| Overall W | 1407 mm |
| Overall H | 1146 mm |
| Wheelbase | 1550 mm |
| Track (Fr) | 1200 mm |
| Track (Rr) | 1150 mm |
| Weight with 68kg driver (Fr) | 110 kg |
| Weight with 68kg driver (Rr) | 110 kg |
| Suspension | Double unequal length A-Arm, Pushrod |
| Tyres (Fr / Rr) | Continental |
| Wheels (Fr / Rr) | 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 (per motor) | 35kW kW |
| Motor Type | AMK |
| Max Motor RPM (highest) | 15500 rpm |
| Motor Controller | AMK Inverter |
| Max System Voltage | 600 V |
| Electrode Materials | LiCoO2 |
| Combined Accumulator Capacity | 7 kWh |
| Transmission Ratio (Primary) | 1:35.32 : 1 |
Driverless System
| Processing unit(s) | Teensy 3.2, MicroAutoBox with Embedded PC |
|---|---|
| Floating Point Operations Per Second of all processing units that are working for the DV system | 345.60 GigaFLOPS |
| Power consumption of all processing units that are working for the DV system | 48 W |
| Lidar sensor(s) | Velodyne Puck HiRes |
| Highlights of the DV system | 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 | ||||||||||||||