Team Details
As of 2022, this class has been integrated into the other two classes.
Revolve NTNU Driverless
| University | Norwegian University of Science and Technology
NO Trondheim NTNU short 738 |
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|---|---|---|
| Location | Trondheim, Norway | |
| Homepage | https://www.revolve.no/ | |
| Social Media |
  
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| CV Team | Revolve NTNU | |
| EV Team | Revolve NTNU | |
| Short Link | tid.fsg.one/821 | |
Team Description
Revolve NTNU Driverless
Event Profile
Past Events
2021
Info
Revolve NTNU was founded in 2010. We developed two combustion cars, before switching to electric in 2014 and had our first 4wd electric car in 2016. Since 2018 we have been developing both an autonomous and an electric racecar each year. Last year’s vehicles were unfortunately never completed, so we are really looking forward to showing you everything we have been working on over the past two years. See you at FSG.
Engineering Design Priorities:
Reliability
Repeatability
Technical Maintainability
Autonomous Control
State Estimation & SLAM
Software Development
Car Specifications
General
| Frame Construction | CFRP Two-Piece Monocoque |
|---|---|
| Material | M 2x2 twill prepreg and HM UD prepreg with Foam & ALUHC core sandwich panel |
| Overall Length (mm) | 2870 |
| Overall Width (mm) | 1400 |
| Overall Height (mm) | 1185 |
| Wheelbase (mm) | 1530 |
| Track Front (mm) | 1200 |
| Track Rear (mm) | 1180 |
| Weight Front (kg) | 96 |
| Weight Rear (kg) | 105 |
| Suspension | SLA, upper wishbone push rod actuated |
| Tyres | 205x34 R13 - Continental C17, front and rear |
| Wheels | 7x13, 36mm offset, two pc CFRP/Al Rim, front and rear |
| Drive Type | Hub mounted compound planetary gearbox |
| Differential | N/A |
| Cooling | Dual cycle, rear-mounted w/ fans and ducting. |
| Brake System | 4-Disk system, self developed rotors, ISR 22-048/9 callipers, adjustable brake balance |
| Electronics | All PCB's except IMD, telemetry and the inverter are self developed. |
Powertrain
| Number of Motors | 4 |
|---|---|
| Motor Location | Hub mounted |
| Max Motor Power | 37 kW |
| Motor Type | AMK DD5-14-10-POW-18600-B5 |
| Max Motor RPM | 20.000 |
| Motor Controller | AMK KW26-S5-FSE-4Q |
| Max System Voltage (V) | 588V |
| Electrode Materials | LiCoO2 |
| Accumulator Capacity | 6.8 kWh |
| Transmission Ratio Primary | 1:15.58 |
| Transmission Ratio Secondary | N/A |
Driverless System
| Processing Units | Self developed processing unit with Intel i9-9900 |
|---|---|
| Processing Units FLOPS | 499 |
| Processing Units Power (W) | 105 |
| Cameras | N/A |
| Radar Sensors | N/A |
| LiDAR Sensors | Hesai Pandar P40 |
| Other Sensors | VectorNav VN-300 INS |
| DV System Highlights | Autonomous systems are crafted in C++ and Python with ROS. Detection with single LiDAR and PCL. ESKF State Estimation using IMU and dual GNSS with pose feedback from graphSLAM. Path planning using particle filter. Coupled MPCC controller seeking optimal wheel angles and torques, maximizing progress around track. Tested using in-house simulation. |
2019
Info
Revolve NTNU is a team from Norway, consisting of 67 students from all years of study. This year, over 15 members have worked hard to introduce Revolve's second autonomous vehicle. With a new base vehicle and a new autonomous pipeline, we will do our best in the competitions. Best of luck to everyone!
Engineering Design Priorities:
Particle Filter Planning
SLAM Frontend w/EKF
Asynchronous Detection
Custom Processing Unit
Sensor Testing
Car Maintainability
Car Specifications
General
| Frame Construction | CFRP Two-Piece Monocoque |
|---|---|
| Material | IM 2x2 twill prepreg and HM UD prepreg with Foam & ALUHC core sandwich panel |
| Overall Length (mm) | 2870 |
| Overall Width (mm) | 1400 |
| Overall Height (mm) | 1185 |
| Wheelbase (mm) | 1530 |
| Track Front (mm) | 1200 |
| Track Rear (mm) | 1180 |
| Weight Front (kg) | 96 |
| Weight Rear (kg) | 105 |
| Suspension | SLA, upper wishbone push rod actuated |
| Tyres | 205x34 R13 - Continental C17, front and rear |
| Wheels | 7x13, 36mm offset, two pc CFRP/Al Rim, front and rear |
| Drive Type | Hub mounted compound planetary gearbox |
| Differential | N/A |
| Cooling | Dual cycle, mounted inside sidepod w/ fans and ducting. |
| Brake System | 4-Disk system, self developed rotors, ISR 22-048/9 calipers, adjustable brake balance |
| Electronics | All PCB's except IMD, telemetry and the inverter are self developed. |
Powertrain
| Number of Motors | 4 |
|---|---|
| Motor Location | Hub mounted |
| Max Motor Power | 37 kW |
| Motor Type | AMK DD5-14-10-POW-18600-B5 |
| Max Motor RPM | 20.000 |
| Motor Controller | AMK KW26-S5-FSE-4Q |
| Max System Voltage (V) | 588 |
| Electrode Materials | LiCoO2 |
| Accumulator Capacity | 6.8 kWh |
| Transmission Ratio Primary | 1:15.58 |
| Transmission Ratio Secondary | N/A |
Driverless System
| Processing Units | Self developed processing unit with Intel i7-8700, NVIDIA GTX 1070 |
|---|---|
| Processing Units FLOPS | 6825 |
| Processing Units Power (W) | 250 |
| Cameras | Basler acA1300-200uc |
| Radar Sensors | N/A |
| LiDAR Sensors | Ouster - OS-1, Velodyne - Puck VLP-16 |
| Other Sensors | VectorNav VN-300 |
| DV System Highlights | Autonomous systems written in C++ in ROS. Nonlinear observer for state estimation. Detection systems based on mono camera and 2xLiDARs using YOLOv3 and PCL, fused asynchronously with EKF in SLAM frontend. SLAM’s backend is factor graph based (iSAM2). Particle Filter based path planning. Feedback Linearization Control. Tested on inhouse simulator. |
2018
Info
Revolve NTNU is a team from Norway, consisting of 70 students from all years of study. We decided early to join the new challenge of driverless and followed closely as the first FSD competition was held in 2017. This year our 20 members on the driverless team have been working hard to place Trondheim on the map of autonomous racing, resulting in a solid system based on the combination of Machine Learning and classical AI.
Engineering Design Priorities:
End-to-End ML system
Neural net cone detection
Detailed graphSLAM
Model Predictive Control
Traxxas test platform
Gazebo-simulation
Car Specifications
General
| Frame Construction | Full CFRP monocoque |
|---|---|
| Material | CFRP, AlHC and Rohacell sandwich construction |
| Overall Length (mm) | 2630 |
| Overall Width (mm) | 1400 |
| Overall Height (mm) | 1186 |
| Wheelbase (mm) | 1530 |
| Track Front (mm) | 1200 |
| Track Rear (mm) | 1180 |
| Weight Front (kg) | 73 |
| Weight Rear (kg) | 108 |
| Suspension | Double unequal length A-arm. Push rod actuated horizontally oriented spring and damper. |
| Tyres | 205/470 R13 Continental C17 front and rear |
| Wheels | 7.0x13”, 2pc Al/CFRP rim front and rear |
| Drive Type | Hub mounted compound planetary gear box |
| Differential | N/A |
| Cooling | Dual cycle water cooling on motor and controller. Air cooled Accumulator. |
| Brake System | Self developed discs (186mm) and brake balance adjuster. ISR front and rear calipers. |
| Electronics | Self-designed AMS, ADC’s and Dashboard. Livedash and self-developed analyze program. |
Powertrain
| Number of Motors | 4 |
|---|---|
| Motor Location | FR, FL, RR, RL |
| Max Motor Power | 4x37kW |
| Motor Type | 4 x AMK/DD5-14-10-POW |
| Max Motor RPM | 20000 |
| Motor Controller | AMK /KW26-S5-FSE-4Q |
| Max System Voltage (V) | 504V |
| Electrode Materials | LiCoO2 |
| Accumulator Capacity | 5.81 |
| Transmission Ratio Primary | 15.46:1 |
| Transmission Ratio Secondary | N/A |
Driverless System
| Processing Units | Nvidia Drive PX2 Auto Chauffeur |
|---|---|
| Processing Units FLOPS | 16000 |
| Processing Units Power (W) | 150 |
| Cameras | 2 color-vision FLIR Blackfly mounted in main hoop |
| Radar Sensors | N/A |
| LiDAR Sensors | Velodyne Puck VLP-16, mounted below monocoque |
| Other Sensors | Swift Nav Piksi Multi RTK and Vector Nav VN-200 INS |
| DV System Highlights | Both end-2-end machine learning and full driving pipeline. Cone-detection combining LiDAR and camera with ML classifier and YOLO3 as redundant systems. Fully functional graphSLAM, and trackfinder using triangulation and circles. Model Predictive Contouring Control for high speed driving. Early testing with Gazebo and Traxxas XO-1 RC car. |
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 |
8. |
- |
- |
2. |
1. |
2. |
9. |
12. |
- |
0.00 |
346.71 |
||
| 2025.08 | 24 |
1. |
- |
- |
1. |
5. |
2. |
2. |
2. |
- |
-20.00 |
852.25 |
||
| 2024.08 | 27 |
9. |
- |
- |
2. |
- |
3. |
- |
- |
- |
0.00 |
202.56 |
||
| 2024.08 | 13 |
5. |
1. |
3. |
3. |
2. |
2. |
- |
- |
- |
0.00 |
561.64 |
||
| 2023.08 | 30 |
17. |
- |
- |
9. |
- |
- |
- |
- |
- |
0.00 |
100.00 |
||
| 2023.08 | 22 |
9. |
6. |
12. |
14. |
7. |
1. |
- |
- |
- |
0.00 |
425.18 |
||
| 2022.08 | 19 |
10. |
- |
- |
8. |
8. |
- |
- |
- |
- |
0.00 |
129.84 |
||
| 2022.08 | 22 |
14. |
13. |
13. |
14. |
- |
- |
- |
- |
- |
0.00 |
343.11 |
||
| 2021.08 | 17 |
5. |
8. |
12. |
9. |
4. |
- |
3. |
4. |
- |
0.00 |
347.11 |
||
| 2019.08 | 20 |
15. |
7. |
15. |
10. |
- |
- |
- |
- |
- |
-32.00 |
261.83 |
||
| 2019.07 | 14 |
10. |
8. |
11. |
7. |
- |
- |
- |
- |
- |
0.00 |
363.40 |
||
| 2018.08 | 17 |
7. |
11. |
8. |
6. |
- |
- |
- |
6. |
- |
-15.00 |
297.77 |
||
| 2018.07 | 7 |
2. |
1. |
1. |
1. |
- |
- |
- |
- |
- |
0.00 |
492.00 |
||
| x 13 | ||||||||||||||