Team Details

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

AMZ Driverless

University ETH Zürich
CH Zürich ETH short 94
team logo
LocationZürich, Switzerland
Homepagehttps://amzracing.ch
Social Media YouTube facebook X
CV Team Akademischer Motorsportverein Zürich
EV Team AMZ Racing Team
Short Linktid.fsg.one/785

Team Description

The Academic Motorsports Club Zurich (AMZ) was founded in 2006 by students of ETH Zurich and has produced a prototype to compete in various «Formula Student» competitions in Europe every year since then. After having built three combustion powered cars, AMZ moved forward to developing fully electric racing cars in 2010. With the introduction of the Formula Student Driverless class in 2017, AMZ became a pioneer in developing autonomous race cars. Since then, AMZ engineers a new driverless race car on the basis of a vehicle from previous years in addition to the new electric one every season.


Event Profile

Past Events

Car 433 – 2021
2021
Car #433
Info
AMZ Racing was founded in 2006 by students of ETH Zurich. Since 2010 AMZ focuses on electric vehicles and collaborates with the Lucerne University of Applied Science and Arts. AMZ took the opportunity to transform their electric vehicles into autonomous race cars, when Driverless was first introduced in 2017. The 2019 driverless team consists of an diverse and international team of Master's students from Robotics, Electrical Engineering, Mechanical Engineering, and Computer Science.
Engineering Design Priorities:
Hardware reliability Software reliability Lap time reduction Innovative design Complexity reduction Simulation
Car Specifications
General
Frame Construction Single piece CFRP monocoque
Material CFRP & AFRP pre-preg (Twill and UD), aluminum honeycomb sandwich
Overall Length (mm) 2932
Overall Width (mm) 1422
Overall Height (mm) 1156
Wheelbase (mm) 1530
Track Front (mm) 1220
Track Rear (mm) 1220
Weight Front (kg) 97
Weight Rear (kg) 100
Suspension A-arms and pushrods, hydraulically actuated, mode decoupled suspension with MRF dampers
Tyres 18.3x7.0-13, Continental C17
Wheels OZ Racing Aluminum 7Jx13
Drive Type Self-developed AMZ M7 motors
Differential -
Cooling Single water circuit with two pumps and two radiators for motors, inverters, and computing units
Brake System Self-developed aluminum calipers, adjustable brake balance, proportional valve in the rea
Electronics Self-developed optical AMS, CAN nodes, and 868MHz telemetry system
Powertrain
Number of Motors 4
Motor Location On all wheels
Max Motor Power 38.44kW
Motor Type Permanent magnet synchronous inrunners
Max Motor RPM 24000 1/min
Motor Controller Lenze-Schmidhauser Dual DCU
Max System Voltage (V) 462
Electrode Materials LiCoO2
Accumulator Capacity 6.2kWh
Transmission Ratio Primary 1:18.28
Transmission Ratio Secondary -
Driverless System
Processing Units CPU: Intel Quad-Core Xeon E3-1505M V6, GPU: NVIDIA GeForce RTK 3060
Processing Units FLOPS -
Processing Units Power (W) 210
Cameras 3 Basler cameras with a combined opening angle of 135° and overlapping FOVs
Radar Sensors -
LiDAR Sensors Hesai Pandar 20 & 64
Other Sensors INS with dual antenna GNSS, non-contact optical speed sensor
DV System Highlights Fully redundant sensor pipelines providing robustness against single sensor failure. Multi-level estimation methods leverage probabilistic cone observations. Different control algorithms are optimized to meet the requirements of the respective dynamic disciplines.
Car 433 – 2019
2019
Car #433
Info
AMZ Racing was founded in 2006 by students of ETH Zurich. Since 2010 AMZ focuses on electric vehicles and collaborates with the Lucerne University of Applied Science and Arts. AMZ took the opportunity to transform their electric vehicles into autonomous race cars, when Driverless was first introduced in 2017. The 2019 driverless team consists of an diverse and international team of Master's students from Robotics, Electrical Engineering, Mechanical Engineering, and Computer Science.
Engineering Design Priorities:
Hardware reliability Lap time reduction Robust algorithms Simulation Redundant sensor setup Early failure detection
Car Specifications
General
Frame Construction Single piece CFRP monocoque
Material CFRP & AFRP pre-preg (Twill and UD), aluminum honeycomb sandwich
Overall Length (mm) 2932
Overall Width (mm) 1422
Overall Height (mm) 1156
Wheelbase (mm) 1530
Track Front (mm) 1220
Track Rear (mm) 1220
Weight Front (kg) 97
Weight Rear (kg) 100
Suspension A-arms and pushrods, hydraulically actuated, mode decoupled suspension with MRF dampers
Tyres 18.3x7.0-13, Continental C17
Wheels OZ Racing Aluminum 7Jx13
Drive Type Self-developed AMZ M7 motors
Differential -
Cooling Single water circuit with two pumps and two radiators for motors, inverters, and computing units
Brake System Self-developed aluminum calipers, adjustable brake balance, proportional valve in the rear
Electronics Self-developed optical AMS, CAN nodes, and 868MHz telemetry system
Powertrain
Number of Motors 4
Motor Location On all wheels
Max Motor Power 38.44kW
Motor Type Permanent magnet synchronous inrunners
Max Motor RPM 24000 1/min
Motor Controller Lenze-Schmidhauser Dual DCU
Max System Voltage (V) 462V
Electrode Materials LiCoO2
Accumulator Capacity 6.2kWh
Transmission Ratio Primary 1:18.28
Transmission Ratio Secondary -
Driverless System
Processing Units CPU: Intel Quad-Core Xeon E3-1505M V6, GPU: NVIDIA GeForce 1070
Processing Units FLOPS 6660
Processing Units Power (W) 210
Cameras Two Basler mono cameras with a combined opening angle of 135° enabling cone detections up to 20m
Radar Sensors -
LiDAR Sensors Two Velodyne ULTRA Pucks with a horizontal field of view of 180° enabling cone detections up to 25m
Other Sensors INS with dual antenna GNSS, non-contact optical speed sensor
DV System Highlights Fully redundant sensor pipelines providing robustness against single sensor failure. Multi-level estimation methods leverage probabilistic cone observations. Different control algorithms are optimized to meet the requirements of the respective dynamic disciplines.
Car 433 – 2018
2018
Car #433
Info
The AMZ Racing team was founded in 2006 by students of ETH Zurich. In 2010 AMZ switched to electric vehicles and started an ongoing collaboration with the University of Lucerne. In 2017, Formula Student Driverless started and AMZ competed with two cars for the first time, electric and driverless.AMZ driverless designs and adapts previous fully autonomous formula cars. The team consists of MSc students from ETH Zürich, ranging from Robotics, Electric, Mechanical to Computer Science.
Engineering Design Priorities:
power lightweight efficiency reliability maintainability stiffness
Car Specifications
General
Frame Construction CFRP monocoque
Material CFRP pre-preg (twill and UD), aluminium honeycomb core
Overall Length (mm) 2943
Overall Width (mm) 1425
Overall Height (mm) 1159
Wheelbase (mm) 1530
Track Front (mm) 1220
Track Rear (mm) 1220
Weight Front (kg) 90
Weight Rear (kg) 85
Suspension Double unequal length A-Arms, pushrod actuated air springs and adaptive dampers, heavespri
Tyres Continental C18 13
Wheels 7x13, 24.64 mm offset, Aluminium
Drive Type Planetary-drive, with staged planets
Differential -
Cooling Motor and controllers water cooled, 2 aluminium cross flow radiators
Brake System 4 CMC (C-SiC) floating disks, adjustable brake balance, AP racing calipers
Electronics Feedback traction control, dynamic torque vectoring, multifunctional steering wheel
Powertrain
Number of Motors 4
Motor Location On the wheel
Max Motor Power 29.4 kW
Motor Type Permanent excited watercooled synchronous
Max Motor RPM 19200
Motor Controller Lenze-Schmidhauser Dual DCU
Max System Voltage (V) 470
Accumulator Capacity 2.9 kWh
Transmission Ratio Primary 1:14.4
Driverless System
Processing Units PIP 39, Jetson TX2
Processing Units FLOPS 3724
Processing Units Power (W) 120
Cameras 3 cameras, 20 m range, 2 stereo 1 mono layout
Radar Sensors -
LiDAR Sensors Velodyne Hi-Res
Other Sensors INS, Absolute Speed Sensor
DV System Highlights Fully redundant sensor pipeline, robust against single sensor failure.
Combined visual-LiDAR SLAM.
Colour independent on-line track boundary estimation.
Nonlinear Model Predictive Contouring Control
Car 433 – 2017
2017
Car #433
Info
The AMZ Racing team was founded in 2006 by students of ETH Zurich. In 2010 AMZ switched to electric vehicles and started an ongoing collaboration with the University of Lucerne. For the first time in 2017, the team enters the competition with a second vehicle: flüela driverless. Based on the 2015 car a fully autonomous vehicle is designed and tested. The team consists of former electric members as well as new students from Robotics, Systems and Controls.
Engineering Design Priorities:
powerful lightweight efficient reliability maintainability stiffness
Car Specifications
General
Frame Construction CFRP single piece monocoque with integrated suspension brackets
Material Intermediate and high modular CFRP-prepreg (twill and UD) with aluminium honeycomb core
Overall Length (mm) 2870
Overall Width (mm) 1438
Overall Height (mm) 1139
Wheelbase (mm) 1530
Track Front (mm) 1200
Track Rear (mm) 1180
Weight Front (kg) 82
Weight Rear (kg) 103
Suspension Double A-Arm Pushrod actuated by spring with custom air chamber and adaptive dampers
Tyres 465 x 191-254 Hoosier R25B (both)
Wheels 10‘‘ self developed single piece carbon rim, centerlocked (both)
Drive Type planetary gear with staged planets
Differential None
Cooling Single serial cooling circuit with two radiators mounted in the sidepods.
Brake System Self developed floating rotors, 190mm diameter, adjustable brake balance
Electronics self programmed VCU and telemetry system, CAN communication via self developed mini can mo
Powertrain
Number of Motors 4
Motor Location wheel hub mounted
Max Motor Power 4 x 37 kW
Motor Type AMZ M5, self-developed PMSM. inrunner
Max Motor RPM 20000
Motor Controller Lenze Schmidhauser Dual DCU
Max System Voltage (V) 470
Electrode Materials LiPo
Accumulator Capacity 6.46 kWh
Transmission Ratio Primary 1:14.5
Transmission Ratio Secondary -
Driverless System
Processing Units Robust Master and high-performance Slave
Processing Units FLOPS 368
Processing Units Power (W) 136
Cameras Self-developed inertial stereo camera based on synchronized grey-scale FLIR Blackly
Radar Sensors -
LiDAR Sensors Velodyne Puck VLP-16, mounted above the front wing
Other Sensors SBG Ellipse-N Inertial Navigation System, Kistler Correvit SFII Velocity Sensor
DV System Highlights Custom computing and sensor setup, robust against single sensor failure, LiDAR SLAM, Visual-Inertial SLAM, Nonlinear Model Predictive Contouring Control, total weight of DV system: 12 kg

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
6.
-
-
1.
5.
1.
5.
11.
-
0.00
390.67
2025.08
24
4.
-
-
3.
1.
4.
-
-
-
0.00
491.74
2024.08
27
1.
-
-
6.
2.
8.
2.
1.
-
0.00
500.22
2024.08
13
1.
6.
1.
1.
4.
3.
3.
4.
-
0.00
889.57
2023.08
30
7.
-
-
2.
4.
-
-
-
-
0.00
200.70
2023.08
22
5.
17.
3.
1.
5.
-
4.
-
-
0.00
549.52
2022.08
19
6.
-
-
1.
7.
-
-
-
-
0.00
177.97
2022.08
22
5.
3.
11.
3.
5.
-
2.
-
-
0.00
537.36
2021.08
17
3.
5.
2.
2.
2.
-
-
6.
-
0.00
523.75
2021.08
12
4.
3.
7.
3.
-
-
-
-
-
0.00
432.30
2019.08
20
1.
5.
2.
1.
2.
1.
2.
2.
1.
0.00
933.69
2019.07
14
1.
2.
1.
1.
2.
1.
1.
1.
1.
0.00
976.90
2018.08
17
1.
5.
3.
1.
1.
4.
-
1.
1.
0.00
959.57
2018.07
6
1.
1.
1.
1.
1.
1.
-
1.
1.
0.00
1000.00
2017.08
15
1.
3.
1.
1.
1.
2.
-
1.
1.
0.00
947.09
x 15