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Publications
Publications (8)
For decades, motorsport has been an incubator for innovations in the automotive sector and brought forth systems, like, disk brakes or rearview mirrors. Autonomous racing series such as Roborace, F1Tenth, or the Indy Autonomous Challenge (IAC) are envisioned as playing a similar role within the autonomous vehicle sector, serving as a proving ground...
For decades, motorsport has been an incubator for innovations in the automotive sector and brought forth systems like disk brakes or rearview mirrors. Autonomous racing series such as Roborace, F1Tenth, or the Indy Autonomous Challenge (IAC) are envisioned as playing a similar role within the autonomous vehicle sector, serving as a proving ground f...
Motorsport has always been an enabler for technological advancement, and the same applies to the autonomous driving industry. The team TUM Autonomous Motorsports will participate in the Indy Autonomous Challenge in October 2021 to benchmark its self-driving software-stack by racing one out of ten autonomous Dallara AV-21 racecars at the Indianapoli...
Motorsport has always been an enabler for technological advancement, and the same applies to the autonomous driving industry. The team TUM Auton-omous Motorsports will participate in the Indy Autonomous Challenge in Octo-ber 2021 to benchmark its self-driving software-stack by racing one out of ten autonomous Dallara AV-21 racecars at the Indianapo...
Autonomous Driving Software Engineering - Lecture 04: Perception III - Detection
Connected and autonomous vehicles (CAVs) could reduce emissions, increase road safety, and enhance ride comfort. Multiple CAVs can form a CAV platoon with a close inter-vehicle distance, which can further improve energy efficiency, save space, and reduce travel time. To date, there have been few detailed studies of self-driving algorithms for CAV p...
Simulation-based testing is seen as a major requirement for the safety validation of highly automated driving. One crucial part of such test architectures are models of environment perception sensors such as camera, lidar and radar sensors. Currently, an objective evaluation and the comparison of different modeling approaches for automotive lidar s...
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Projects (2)
The Institute of Automotive Technology has launched the new lecture "Autonomous Driving Software Engineering" in summer term 2021. The lecture gives a comprehensive overview about methods and challenges in the current state of the art of the software modules for self-driving cars. The goal is to improve the system knowledge of students and engineers in the field of automated driving and to identify further research directions on the way to level 5 of automated driving on public roads.
The goal of the TUM Autonomous Motorsport Team is the development of a software which is able to handle an autonomous Level-5 vehicle at the vehicle dynamic limits on the racetrack with several vehicles. To achieve this goal, the individual team members work on sub-projects, each of which contributes to the overall software architecture of the autonomous vehicle. The focus is on dynamic path planning with several vehicles in the driving dynamic limit range on the one hand, and on the other hand on the perception of the environment and localization at high speeds. In order to achieve these goals, the behavior of the opposing racing vehicle must be predicted quickly and reliably on the one hand, and on the other hand, the driving dynamics limit for controlling the vehicle must be determined.
The team has successfully participated in several Roborace challenges within 2018 and 2019, reaching from the Human vs. Machine Challenge at the Berlin Formula-E track up to the first autonomous overtakes at speeds of 160kph with full size racecars at the Monteblanco Circuit.
