PWd1.17

The first driverless racing car from municHMotorsport will be released in 2017.

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FSE/FSC vs FSD
The Car
Technical Progress
Partnerships
Timeline

Formula Student Electric/Combustion

Formula Student Driverless

Disciplines in which we compete with our FSE/FSC cars.

The competition disciplines vary slightly compared to FSE/FSC.

Dynamic disciplines

Dynamic disciplines

  1. Acceleration: 75m straight line acceleration - 75 points
  2. Skidpad: Driving on a course shaped like an 8 - 75 points
  3. Autocross: One timed lap - 100 points
  4. Endurance: Drive 22km on a circuit similar to the Autocross layout - 325 points
  5. Efficiency: Rating of the consumed energy in the Endurance compared with the time needed - 100 points
  1. Acceleration: 75m straight line acceleration - 75 points
  2. Skidpad: Driving on a course shaped like an 8 - 75 points
  3. Track Drive: Drive 10 laps on track similar to the Autocross in characteristic, but only 200 to 500m long - 250 points (10 points for every lap completed, 150 points for time)
  4. Efficiency: Rating of the consumed energy in the Track Drive compared with the time needed - 100 points

Static disciplines

Static disciplines

  1. Engineering Design: A jury from the industry and the world of motorsports evaluate the engineering design of the car and the team's understanding of the solutions - 150 points
  2. Business Plan: A business plan with the car as the core component is presented to a jury - 75 points
  3. Cost Analysis: A jury evaluates the car's cost analysis as presented by the team - 100 points
  1. Engineering Design: A jury from the industry and the world of motorsports evaluates the engineering design of the car and the team's understanding of the solutions - 150 points
  2. Autonomous Design: A jury from the industry evaluates the design of the autonomous system and its algorithms as presented by the team - 175 points
  3. Business Plan: A business plan with the car as the core component is presented to a jury - 75 points
  4. Cost Analysis: A jury evaluates the car's cost analysis as presented by the team - 100 points

more information

THE PWd1.17



Power: 4x32kw
Max. Volatge: 578V
Accumulator Container: Central Container with 7,46kWh
Main Controll Unit: dSpace MicroAutoBox II
Wheels: 10" Hoosier Slicks on Aluminium/CFK Hybrid Rims

The Base


Starting from scratch is never easy, especially when it's in the context of a project as technologically complex as this. Making a racecar drive on its own - that's not something many people have done before. There are, of course, the awesome people from ROBORACE (that you should definitely check out, in case you haven't already) but not much else in terms of highly dynamic autonomous driving with the goal of reaching human-like lap times in the long run. Because of this, we are not designing and building the entire car in the first season; as we are in the lucky position of having several electric Formula Student cars available which are (almost ;)) ready to race, we will modify the 2015 car - the PWe6.15 which you can see in the background of this website - for the driverless competition.



The Top Level


The first step in developing for us was to take a look at the task "drive autonomously on a Formula Student track" from the top and determine the required functionality to fulfill it. The most basic three elements in this are the environment that has to be analyzed, the FSG rules which the system has to comply to and the movement trajectory the car has to follow in order to complete the task.

Between these three elements, the system is spanned. It consists of three main elements which provide the core functionality: sensors, which measure the environment around the car; software, which analyzes the sensory data and determines the action the car has to take; actuators, which translate the commands from the software to physical action and thus the movement trajectory. The power in terms of electricity and computation is provided by the support system, which we call the hardware. The PWe6.15 of course already has such a system, but we need a separate one for the autonomous systems to comply with the rules and for ease of maintenance and debugging reasons.

University of Applied Sciences Munich
As a students project of the UAS Munich the activites of municHMotorsport driverless are fostered in all imaginable respects by many cross-faculty reponsibles. By this the UAS Munich makes the driverless project praticable in the first place.
BMW Group
The BMW Group is a long-term partner of municHMotorsport and extended their support to the driverless team. The congruent goal of building an autonomous driving car makes the collaboration even more precious for municHMotorsport driverless because of the consolidated know-how exchange. In addition to that the BMW Group fosters the driverless team with funds that make it possible to buy technical equipment.
Auvidea GmbH
The Auvidea GmbH designs and supplies products for embedded systems. The carrier board for NVIDIA Jetson TX1 was designed by the Auvidea GmbH and builds therefore a central component in the PWd1.17. Through the continuative support of the Auvidea team it was possible to build up a strong network of industrial contacts and for the exchange of knowledge.
Tamron
The Tamron Group is a leading manufacturer for precision optical products. Tamron Europe GmbH supports municHMotorsport driverless with the MP1010M-VC. It is a compact and light weight Zoom-Camera module which is most suitable for long range video recording. Additional features of the product are the vibration compensation and noise reduction. By this, the Tamron MP1010M-VC will be one of the main sensor inputs for the PWd1.17 and will cover the wide range object detection while autonomous driving.
NVIDIA Corporation
The NVIDIA Corporation is one of the worlds biggest developers for graphics processing units and system on a chip units. The hardware-support for municHMotorsport driverless is the computing platform "Jetson TX1". The platform assures rapid processing of the generated sensor and software data. It is no exaggeration to say that the Jetson TX1 is the heart of the autonomous system of the PWd1.17.
dSpace GmbH
The Software of the German company dSPACE assures the programming of the microautobox in the PWd1.17. The microautobox coordinates the comunication in the car.
iteratec GmbH
The iteratec GmbH is a developer of individual software systems and is experienced in the field of autonomous driving. Through the close collaboration with iteratec it was possible for municHMotorsport driverless to enhance the knowledge in the field of machine learning and by the temporary provision of one of their working students even more knowledge came into the driverless team.
Continental AG
The Continental AG is a leading automotive manufacturing company with specialised expertise in several fields of activity. Since this season the Continetal AG and municHMotorsport are working togehter especially in the field of automated driving components and knowledge transfer for software solutions. Furthermore all of our race cars at municHMotorsport will be equipped with Continental tires.
Entner Electronics KG
The Entner Electronics KG is a company for custom hardware and firmware development from Austria. With the video converter from Entner Electronics the connection and functional fusion of the Tamron camera and the Auvidea carrier board was realised. Thus the video converter of Entner Electronics builds the virtual interface between the sensor input and the software of the PWd1.17
IPG Automotive GmbH
IPG Automotive is an international developer of efficient vehicle development solutions. The support for munichmotorsport with their flagship product CarMaker enables the Team to perform closed loop Simulation testing. By this munichmotorsport lays the foundation for a successful and time efficient testing season of the PWd1.17
Dr. Fritz Faulhaber GmbH & Co. KG
The Dr. Fritz Faulhaber GmbH & Co KG is one of the leading providers for high-technological micro drives. The cooperation with the municHMotorsport driverless team is focused on the steering actuation. With a Brushless DC-Servomotor and motion controller the software signals of the autonomous driving PWd1.17 are converted into steering motions.
Mentor Automotive
Mentor Graphics is a leader in electronic design automation software. The provided software enables municHMotorsport driverless to develop the required interfaces for autonomous driving functions.
Until mid October: Development of our Concept containing a requirement analysis and engineering design paper
Until November: Simulations and tests
Until mid February: CAD modelling and manufactoring
Until April: Assembly of all parts
From April: Testing Season
Mid April: Rollout
Early August: Competing in FSG Competition