AMZ - World Record! 0-100 km/h in 0.956 seconds AMZFormulaStudent 2023-09-16 | The electric racecar «mythen» has set a new world record for acceleration of an electric car on the 01.09.2023. The vehicle accelerated from zero to 100 km/h in 0.956 seconds within a distance of 12.3 meters. The car was developed by students and alumni of the Swiss universities ETH Zurich and HSLU at AMZ Racing.
the AMZ experience - team dufour AMZFormulaStudent 2024-10-04 | 𝗔𝘀 𝘁𝗵𝗲 𝘁𝗲𝗮𝗺 𝗳𝗼𝗿 𝗼𝘂𝗿 𝟮𝟬𝟮𝟱 𝘃𝗲𝗵𝗶𝗰𝗹𝗲 𝗴𝗮𝘁𝗵𝗲𝗿𝗲𝗱 𝗶𝗻 𝘁𝗵𝗲 𝗽𝗮𝘀𝘁 𝘄𝗲𝗲𝗸𝘀, 𝗹𝗲𝘁’𝘀 𝘁𝗮𝗸𝗲 𝗮 𝗺𝗼𝗺𝗲𝗻𝘁 𝘁𝗼 𝗵𝗲𝗮𝗿 𝗳𝗿𝗼𝗺 𝘁𝗲𝗮𝗺 𝘥𝘶𝘧𝘰𝘶𝘳 𝗼𝗻𝗰𝗲 𝗺𝗼𝗿𝗲. 𝗠𝗲𝗲𝘁 𝘁𝗵𝗲 𝗽𝗲𝗼𝗽𝗹𝗲 𝗯𝗲𝗵𝗶𝗻𝗱 𝘁𝗵𝗲 𝗰𝗮𝗿 𝗼𝗳 𝟮𝟬𝟮𝟰.They share what motivated them to join AMZ Racing and contribute to building a Formula Student car. From the chassis design to electronics, each team member played a crucial role in creating a high-performance race car.Discover the passion, dedication and collaboration that drove 𝘥𝘶𝘧𝘰𝘶𝘳 to push the boundaries of technology and led to its success.
Winning Autonomous Trackdrive at FSG 2024 | AMZ Racing AMZFormulaStudent 2024-09-02 | Embark on the Winning Trackdrive of FSG 2024 with dufour!This year has been a historic season for AMZ Racing, with our team achieving unprecedented success: two out of two overall driverless victories and generally five out of six overall wins with a single car. Our journey through the season has been one of relentless innovation, where we implemented most of the pipeline from scratch and made crucial strategic decisions along the way. Next to our Sensor Fusion where we make use of both Camera and LiDAR sensors, we are especially proud of our fully coupled nonlinear MPC for motion planning and control.At FS East, we encountered a critical bug that required quick thinking and rapid adjustments. Despite this, we secured a well-deserved first place overall in the driverless competition. With just one week between FS East and FS Germany, our testing time was limited, but we pushed forward, refining our approach as much as possible.Going into the FSG Trackdrive, we faced a crucial decision: play it safe with a 'slower' parameter set or take a calculated risk with a more aggressive setup that gave us the best shot at overall victory. We chose the latter, knowing that it was our only chance to win it all—and it paid off. Our team’s dedication and expertise shone through, leading to yet another triumph.We are immensely grateful to everyone who played a role in this success—our team members, sponsors, alumni, and supporters. Thank you for being a part of this incredible journey!Congratulations to Chalmers Formula Student for the fastest Trackdrive and an impressive 2nd place overall in the Driverless Cup! A big shout-out to Dynamis PRC for taking 3rd place overall in the Driverless Cup! Fantastic job by both teams!All rights to the audio and video of the third-person view of the car go to ©FSG - media teamThumbnail image: ©FSG - Schulte
AMZ History - Edition 2024 AMZFormulaStudent 2024-07-03 | Recap of 17 years AMZ Racing history. Starting in 2007, we've been building racecars to compete in the Formula Student Competition. Since 2010, the cars feature a fully electric powertrain. © Formula Student Germany - media team© Formula Student Austria © AMZ Racing
AMZ Rollout 2024 - The Aftermovie AMZFormulaStudent 2024-06-08 | This is the aftermovie of the AMZ Rollout 2024! We revealed our latest race car dufour with which we will race at the Formula Student competitions this summer. Check it out for some impressions and to get a feel of the event! Full stream of the Rollout:youtube.com/live/xL5z8pfLfyE?si=OkBSbD32alniT8KD&t=996You can find us on Instagram and Linkedin:instagram.com/amzracinglinkedin.com/company/akademischer-motorsportverein-z%C3%BCrich-amz-
Reveal of dufour AMZFormulaStudent 2024-05-22 | AMZ Racing proudly presents dufour, our 2024 racecar.Produced by Fabrice Wunn
AMZ Rollout 2024 AMZFormulaStudent 2024-05-22 | We are AMZ, the Formula Student Team of ETH Zurich. Since 2006, we have been building a race car from scratch each year. In this stream, we are rolling out our latest creation: dufour. Please sit back, make yourself comfortable and enjoy the show.
AMZ World Record Technical Video - mythen 2023 AMZFormulaStudent 2023-11-01 | In this video we present some of the key technical elements that made our race car mythen able to accelerate from 0 to 100 km/h in less than one second!Shooting and Editing: Fabrice Wunn - instagram.com/fxbrce
AMZ Rollout 2023 - The Aftermovie AMZFormulaStudent 2023-05-29 | Here is the aftermovie of the AMZ Rollout 2023. We revealed our newest race car castor with which we will race at the Formula Student electric and driverless competitions this summer. Check it out for some impressions and to get a feel of the event! Full stream of the rollout:youtube.com/watch?v=t0-4lk-hY98You can find us on instagram and linkedin:instagram.com/amzracinglinkedin.com/company/akademischer-motorsportverein-z%C3%BCrich-amz-
Testing of castor - AMZ Rollout 2023 AMZFormulaStudent 2023-05-19 | The testing season for castor has startet.
AMZ Rollout 2023 AMZFormulaStudent 2023-05-17 | We are AMZ, the Formula Student Team of ETH Zurich. Since 2006, we have been building a race car from scratch each year. In this stream, we are rolling out our latest creation: castor. Please sit back, make yourself comfortable and enjoy the show.
castor reveal - AMZ Rollout 2023 AMZFormulaStudent 2023-05-16 | We welcome our 16th racecar for the 2023 season: castor
AMZ History - 2022 Edition AMZFormulaStudent 2022-12-06 | We build race cars since 2006. To show how far we have come, here is the AMZ history video shown at the rollout of our 2022 car bernina.
AMZ Rollout 2022 AMZFormulaStudent 2022-06-15 | We are AMZ, the Formula Student Team of ETH Zurich. Since 2006, we have been building a race car from scratch each year. In this stream, we are rolling out our latest creation: bernina. Please sit back, make yourself comfortable and enjoy the show.To ask a question during our Q&A, click here: bit.ly/3HgqEyW17:30 - 18:00 Keynote18:00 - 18:15 Q&A18:15 - 18:45 Live Demo
The AMZ Experience - Team 2021 AMZFormulaStudent 2021-06-18 | What is it like being a member of the AMZ? Let me tell you, there is no single answer to this. Designing and manufacturing an electric and driverless race car from scratch for the Formula Student competition needs a team with a variety of different skills. From sponsoring and finances to public relations, from human resources to the technical intricacies of the race car itself, everyone in the team fulfills his or her individual role. It takes a lot for everything to come together, but united by our passion for racing, robotics, and the AMZ itself, we push forward, year after year. Check our website to join the team (https://amzracing.ch/). The next application period will start in with the new ETH fall semester. Shout out to @Gian-Andrea Hounder for creating such a great team video for us. Check out his youtube channel at youtube.com/channel/UCxOO7qmUx2ADk6i2ThXvmWA/featured.
AMZ Rollout 2021 - The Aftermovie AMZFormulaStudent 2021-06-09 | Here is the aftermovie of the AMZ Rollout 2021. We revealed our newest race cars alvier and pilatus driverless with which we will race at the Formula Student competitions this summer. Check it out for some impressions and to get a feel of the event! Full stream of the rollout:youtube.com/watch?v=k0wBwr9kyYI&t=8sYou can find us on instagram and linkedin:instagram.com/amzracinglinkedin.com/company/akademischer-motorsportverein-z%C3%BCrich-amz-
AMZ Rollout 2021 AMZFormulaStudent 2021-05-28 | We are AMZ, the Formula Student Team of ETH Zurich. Since 2006, we have been building a race car from scratch each year. In this stream, we are rolling out our latest creations: alvier & pilatus driverless. Please sit back, make yourself comfortable and enjoy the show. (The stream starts 32:25).18:00 - 18:45 Keynote18:45 - 19:00 Q&A19:00 - 19:30 Live DemoMusic (Preevent):–––––––––––––––––––––––––––––– Track: Constantinople — Vendredi [Audio Library Release] Music provided by Audio Library Plus Watch: youtu.be/oqyIcxr03JY Free Download / Stream: alplus.io/constantinople –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Track: Glistening Deep in the Cave — Artificial.Music [Audio Library Release] Music provided by Audio Library Plus Watch: youtu.be/7t8rKsJvEFQ Free Download / Stream: alplus.io/glistening-deep-cave –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Track: Your Turn — tubebackr [Audio Library Release] Music provided by Audio Library Plus Watch: youtu.be/Ma-XZFa8bLU Free Download / Stream: alplus.io/your-turn –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Track: Flower — Johny Grimes [Audio Library Release] Music provided by Audio Library Plus Watch: youtu.be/PlkCmK-wBCE Free Download / Stream: alplus.io/flower –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Track: Our Journey — tubebackr [Audio Library Release] Music provided by Audio Library Plus Watch: youtu.be/7LhfQfX91zQ Free Download / Stream: alplus.io/our-journey –––––––––––––––––––––––––––––– –––––––––––––––––––––––––––––– Cruising by Vendredi soundcloud.com/vendrediduo Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: bit.ly/_cruising Music promoted by Audio Library youtu.be/TWeRJdrpxEU –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Sundown Drive by Ghostrifter Official https://soundcloud.com/ghostrifter-of... Creative Commons — Attribution-ShareAlike 3.0 Unported — CC BY-SA 3.0 Free Download / Stream: bit.ly/-sundown-drive Music promoted by Audio Library youtu.be/2H-uKkyJzSs ––––––––––––––––––––––––––––––Music (Manufacturing alvier):Track: Max Brhon - Cyberpunk [NCS Release]Music provided by NoCopyrightSounds.Watch: youtu.be/iqoNoU-rm14Free Download / Stream: http://ncs.io/Cyberpunk
AMZ Driverless - Competitive against a human driver AMZFormulaStudent 2021-03-27 | Read the full article:Sirish Srinivasan, Sebastian Nicolas Giles, Alexander Liniger -- A Holistic Motion Planning and Control Solution to Challenge a Professional Racecar Driver: arxiv.org/pdf/2103.00358.pdf
Accurate Mapping and Planning for Autonomous Racing AMZFormulaStudent 2020-07-31 | We present the perception, mapping, and planning pipeline implemented on an autonomous race car. It was developed by the 2019 AMZ driverless team for the Formula Student Germany (FSG) 2019 driverless competition, where it won 1st place overall. The presented solution combines early fusion of camera and LiDAR data, a layered mapping approach, and a planning approach that uses Bayesian filtering to achieve high-speed driving on unknown race tracks while creating accurate maps. We benchmark the method against our team's previous solution, which won FSG 2018, and show improved accuracy when driving at the same speeds. Furthermore, the new pipeline makes it possible to reliably raise the maximum driving speed in unknown environments from 3 m/s to 12 m/s while still mapping with an acceptable RMSE of 0.29 m.The presented paper can be downloaded here: arxiv.org/abs/2003.05266_____________________________________________________Visit our website and follow us on social media!AMZ driverless Website: driverless.amzracing.chAMZ Racing on Facebook: facebook.com/amzracingAMZ Racing on Twitter: twitter.com/amzracing?lang=enAMZ Racing on Instagram: instagram.com/amzracing/?hl=enAMZ Racing on LinkedIn: linkedin.com/company/akademischer-motorsportverein-z%C3%BCrich-amz-
Real-Time 3D Traffic Cone Detection for Autonomous Driving AMZFormulaStudent 2020-04-12 | Considerable progress has been made in semantic scene understanding of road scenes with monocular cameras. It is, however, mainly focused on certain specific classes such as cars, bicyclists and pedestrians. This work investigates traffic cones, an object category crucial for traffic control in the context of autonomous vehicles. 3D object detection using images from a monocular camera is intrinsically an ill-posed problem. In this work, we exploit the unique structure of traffic cones and propose a pipelined approach to solve this problem. Specifically, we first detect cones in images by a modified 2D object detector. Following which the keypoints on a traffic cone are recognized with the help of our deep structural regression network, here, the fact that the cross-ratio is projection invariant is leveraged for network regularization. Finally, the 3D position of cones is recovered via the classical Perspective n-Point algorithm using correspondences obtained from the keypoint regression. Extensive experiments show that our approach can accurately detect traffic cones and estimate their position in the 3D world in real time. The proposed method is also deployed on a real-time, autonomous system. It runs efficiently on the low-power Jetson TX2, providing accurate 3D position estimates, allowing a race-car to map and drive autonomously on an unseen track indicated by traffic cones. With the help of robust and accurate perception, our race-car won both Formula Student Competitions held in Italy and Germany in 2018, cruising at a top speed of 54 km/h on our driverless platform "gotthard driverless".Authors: Ankit Dhall, Dengxin Dai, Luc Van GoolIEEE Intelligent Vehicles (IV), Paris 2019The presented paper can be downloaded here: arxiv.org/abs/1902.02394_____________________________________________________Visit our website and follow us on social media!AMZ driverless Website: driverless.amzracing.chAMZ Racing on Facebook: facebook.com/amzracingAMZ Racing on Twitter: twitter.com/amzracing?lang=enAMZ Racing on Instagram: instagram.com/amzracing/?hl=enAMZ Racing on LinkedIn: linkedin.com/company/akademischer-motorsportverein-z%C3%BCrich-amz-
Optimization-Based Hierarchical Motion Planning for Autonomous Racing AMZFormulaStudent 2020-03-10 | In this work we propose a hierarchical controller for autonomous racing where the same vehicle model is used in a two level optimization framework for motion planning. The high-level controller computes a trajectory that minimizes the lap time, and the low-level nonlinear model predictive path following controller tracks the computed trajectory online. Following a computed optimal trajectory avoids online planning and enables fast computational times. The efficiency is further enhanced by the coupling of the two levels through a terminal constraint, computed in the high-level controller. Including this constraint in the real-time optimization level ensures that the prediction horizon can be shortened, while safety is guaranteed. This proves crucial for the experimental validation of the approach on a full size driverless race car. The vehicle in question won two international student racing competitions using the proposed framework; moreover, our hierarchical controller achieved an improvement of 20% in the lap time compared to the state of the art result achieved using a very similar car and track.The presented paper can be downloaded here: arxiv.org/abs/2003.04882_____________________________________________________Visit our website and follow us on social media!AMZ driverless Website: driverless.amzracing.chAMZ Racing on Facebook: facebook.com/amzracingAMZ Racing on Twitter: twitter.com/amzracing?lang=enAMZ Racing on Instagram: instagram.com/amzracing/?hl=enAMZ Racing on LinkedIn: linkedin.com/company/akademischer-motorsportverein-z%C3%BCrich-amz-
AMZ Driverless 2019 Season End AMZFormulaStudent 2019-10-10 | After all the hard work, and long nights, the AMZ driverless team has completed another successful season! This video summarizes all of our progress in the past year.#driverless #autonomous #robotics_____________________________________________________Visit our website and follow us on social media!AMZ driverless Website: driverless.amzracing.chAMZ Racing on Facebook: facebook.com/amzracingAMZ Racing on Twitter: twitter.com/amzracing?lang=enAMZ Racing on Instagram: instagram.com/amzracing/?hl=en
Learning-based Model Predictive Control for Autonomous Racing AMZFormulaStudent 2019-07-11 | Presented paper can be downloaded here: https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/351561/08754713.pdf?sequence=1&isAllowed=yAbstract—In this paper, we present a learning-based controlapproach for autonomous racing with an application to the AMZDriverless race car gotthard. One major issue in autonomousracing is that accurate vehicle models that cover the entireperformance envelope of a race car are highly nonlinear, complexand complicated to identify, rendering them impractical forcontrol. To address this issue, we employ a relatively simplenominal vehicle model, which is improved based on measurementdata and tools from machine learning. The resulting formulationis an online learning data-driven Model Predictive Controller,which uses Gaussian Processes regression to take residual modeluncertainty into account and achieve safe driving behavior. Toimprove the vehicle model online, we select from a constantin-flow of data points according to a criterion reflecting theinformation gain, and maintain a small dictionary of 300 datapoints. The framework is tested on the full-size AMZ Driverlessrace car, where it is able to improve the vehicle model and reducelap times by 10% while maintaining safety of the vehicle._____________________________________________________Visit our website and follow us on social media!AMZ driverless Website: driverless.amzracing.chAMZ Racing on Facebook: facebook.com/amzracingAMZ Racing on Twitter: twitter.com/amzracing?lang=enAMZ Racing on Instagram: instagram.com/amzracing/?hl=en
Driverless Rollout Video 2019 AMZFormulaStudent 2019-05-26 | After 8 months of hard work, we are proud to present to you pilatus driverless, our latest prototype to defend the title for the Formula Student Driverless Championship!_____________________________________________________Visit our website and follow us on social media!AMZ driverless Website: driverless.amzracing.chAMZ Racing on Facebook: facebook.com/amzracingAMZ Racing on Twitter: twitter.com/amzracing?lang=enAMZ Racing on Instagram: instagram.com/amzracing/?hl=en
Rollout Keynote 2019 AMZFormulaStudent 2019-05-26 | After about eight months of design work, strenuous labor in the workshop and many sleepless nights during assembly, we are finally proud to present our challenger for the 2019 Formula Student season, mythen, and its driverless sister car, pilatus driverless.Join us for the rollout of our 2019 competitor cars!
mythen - making of AMZFormulaStudent 2019-05-21 | A short compilation of footage from the making of our 2019 challenger, mythen.
AMZ History - 2019 Edition AMZFormulaStudent 2019-05-21 | We build race cars since 2006. On the occasion of the rollout of our 2019 cars, mythen and pilatus driverless, here is a video to show how far we've come.
AMZ Driverless: The Full Autonomous Racing System AMZFormulaStudent 2019-05-15 | This paper describes the algorithms and system architecture of an autonomous racecar. The presented vehicle is powered by a software stack designed for robustness, reliability and extensibility. In order to autonomously race around a previously unknown track, the proposed solution combines state of the art solutions from different fields of robotics - mainly perception, estimation and control - into one high performance autonomous racecar. This complex robotic system, developed by AMZ Driverless and ETH Zurich, finished 1st overall at each competition we attended: Formula Student Germany 2017, Formula Student Italy 2018 and Formula Student Germany 2018. We therefore discuss the findings and lessons learned from these competitions in addition to presenting an experimental evaluation of each part of our solution._____________________________________________________Visit our website and follow us on social media!AMZ driverless Website: driverless.amzracing.chAMZ Racing on Facebook: facebook.com/amzracingAMZ Racing on Twitter: twitter.com/amzracing?lang=enAMZ Racing on Instagram: instagram.com/amzracing/?hl=en
Rollout 2019 Teaser AMZFormulaStudent 2019-05-13 | Are you ready for the rollout of #mythen and #pilatus #driverless? Stay tuned for more infos about our new 2019 challengers on the 20th of May!
FSsim is here! AMZFormulaStudent 2019-01-29 | This one is for the community: FSsim is ready to download now! Test your Formula Student Driverless software before competition. Download at github.com/AMZ-Driverless/fssim_____________________________________________________Visit our website and follow us on social media!AMZ driverless Website: driverless.amzracing.chAMZ Racing on Facebook: facebook.com/amzracingAMZ Racing on Twitter: twitter.com/amzracing?lang=enAMZ Racing on Instagram: instagram.com/amzracing/?hl=en
Learning-based motion planning for AMZ Driverless AMZFormulaStudent 2018-11-05 | gotthard driverless is now able to learn and thus improve the lap times consecutively!Further information can be found in: http://www.idsc.ethz.ch/research-zeilinger/research-projects/GPMPC.html_____________________________________________________Visit our website and follow us on social media!AMZ driverless Website: driverless.amzracing.chAMZ Racing on Facebook: facebook.com/amzracingAMZ Racing on Twitter: twitter.com/amzracing?lang=enAMZ Racing on Instagram: instagram.com/amzracing/?hl=en
Redundant Perception and State Estimation for Reliable Autonomous Racing AMZFormulaStudent 2018-09-25 | Approaches developed to ensure redundancy in the perception and state estimation pipelines of the AMZ Driverless’ 2018 autonomous race car, gotthard driverless.This video accompanies our submission titled "Redundant Perception and State Estimation for Reliable Autonomous Racing" to ICRA 2019. The submitted paper can be found at arxiv.org/abs/1809.10099_____________________________________________________Visit our website and follow us on social media!AMZ driverless Website: driverless.amzracing.chAMZ Racing on Facebook: facebook.com/amzracingAMZ Racing on Twitter: twitter.com/amzracing?lang=enAMZ Racing on Instagram: instagram.com/amzracing/?hl=en
FS Netherlands 2018 From Above AMZFormulaStudent 2018-07-17 | Enjoy our Drone Footage from Formula Student Netherlands 2018. It was an amazing Event.For music check out the channel of e-soundtrax: youtube.com/user/esoundtraxmusicThey do some excellent work.
«AMZ History» Video of 2018 Rollout AMZFormulaStudent 2018-05-21 | The video that was shown at the 2018 rollout about the history of AMZ.Soundtrack: Transformers – Arrival to Earth
«pilatus» Showrun on Polyterrasse of ETH Zürich (360° VR Video) AMZFormulaStudent 2018-04-22 | 360° footage of the 2017 car «pilatus» having some fun on top of Zurich. The Showrun on ETH Zürich's Polyterrasse was made possible by ZF and took place as part of AMIV's 125 year anniversary
0 - 100 kph in 1.513 seconds - Official World Record Footage AMZFormulaStudent 2016-06-25 | Link to the World Record Video:youtu.be/I-NCH8ct24ULink to Background Videos:grimsel technical tour: youtu.be/voVwDYMnQloAMZ and Formula Student: youtu.be/JQr1Mwuiopg
What is AMZ? What is Formula Student? AMZFormulaStudent 2016-06-22 | We explain what AMZ Racing stands for and how we're organized as a team which is developing, testing and racing cars since 2006. Also, we give an insight into the competition the race cars of AMZ are built for: Formula StudentWorld record video of grimsel:youtu.be/I-NCH8ct24Ugrimsel - technical tour video:youtu.be/voVwDYMnQloDrone video and FSG TV footage:Courtesy of Formula Student Germany Media(youtube.com/user/FormulaStudentTV)Soundtrack:soundcloud.com/vicetone/vicetone-twenty-radio-editArtist: Vicetone Song: TwentyMap by Free Vector Maps, www.freevectormaps.com
grimsel - Technical Tour AMZFormulaStudent 2016-06-22 | See what technical details and features make grimsel a world record breaking car! World Record video:youtu.be/I-NCH8ct24UWhat is AMZ and Formula Student video:youtu.be/JQr1Mwuiopg
AMZ - World Record! 0-100kph in 1.513 seconds AMZFormulaStudent 2016-06-22 | The electric racecar «grimsel» has set a new world record for acceleration of an electric car today. The vehicle accelerated from zero to 60 in 1.513 seconds and reached 60 mph within a distance of 100 feet. The car was developed by students of the Swiss universities ETH Zurich and Hochschule Luzern.Here is the official footage of the complete run:youtu.be/n2XiCYA3C9sclick here to learn more about the car that broke the world record:youtu.be/voVwDYMnQloclick here to learn more about AMZ and Formula Student:youtu.be/JQr1Mwuiopg
flüela - the journey (part 3) AMZFormulaStudent 2015-12-20 | The making of "flüela" - Part 3 of 3.Footage: Formula Student Germany (FSG)Facebook: www.fb.com/amzracingTwitter: www.twitter.com/amzracing
flüela - Virtual Assembly AMZFormulaStudent 2015-12-13 | Virtual assembly of AMZs 2015 Formula Student Electric car "flüela".Music: "Die Another Day" by Dead Battery (soundcloud.com/deadbattery)AMZ Facebook: www.fb.com/amzracingAMZ Twitter: www.twitter.com/amzracing
flüela - the journey (part 2) AMZFormulaStudent 2015-12-06 | The making of "flüela" - Part 2 of 3Part 1: youtube.com/watch?v=tts4imX4TFkFootage: Keren Wang, www.kerenwang.netFacebook: www.fb.com/amzracingTwitter: www.twitter.com/amzracing
flüela - the journey (part 1) AMZFormulaStudent 2015-11-29 | The making of "flüela" - Part 1 of 3.Songs: The Furry Stranger by Dead Battery; Winter 1 // Vivaldi Recomposed by Max RichterFootage: Formula Student Germany (FSG)Facebook: www.fb.com/amzracingTwitter: www.twitter.com/amzracing
AMZ Team 2015 AMZFormulaStudent 2015-06-04 | The video to introduce our team at the rollout in 2015.Our thanks go to Kerenwang (http://www.kerenwang.net) for his time and excitement in making this video.
