75 citations · 435 across the 20 of their papers we have counts for
21 papers
GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing
Frederik Werner, Ann-Kathrin Schwehn, Markus Lienkamp +1
Conventional trajectory planning approaches for autonomous vehicles often assume a fixed vehicle model that remains constant regardless of the vehicle's location. This overlooks th…
Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing
Phillip Karle, Felix Fent, Sebastian Huch +2
Reliable detection and tracking of surrounding objects are indispensable for comprehensive motion prediction and planning of autonomous vehicles. Due to the limitations of individu…
EDGAR: An Autonomous Driving Research Platform -- From Feature Development to Real-World Application
Phillip Karle, Tobias Betz, Marcin Bosk +31
While current research and development of autonomous driving primarily focuses on developing new features and algorithms, the transfer from isolated software components into an ent…
Germany's nationwide travel experiment in 2022: public transport for 9 Euro per month -- First findings of an empirical study
Allister Loder, Fabienne Cantner, Lennart Adenaw +8
In spring 2022, the German federal government agreed on a set of policy measures that aimed at reducing households' financial burden resulting from a recent price increase, especia…
RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception
Felix Fent, Philipp Bauerschmidt, Markus Lienkamp
A reliable perception has to be robust against challenging environmental conditions. Therefore, recent efforts focused on the use of radar sensors in addition to camera and lidar s…
An Ethical Trajectory Planning Algorithm for Autonomous Vehicles
Maximilian Geisslinger, Franziska Poszler, Markus Lienkamp
With the rise of AI and automation, moral decisions are being put into the hands of algorithms that were formerly the preserve of humans. In autonomous driving, a variety of such d…
A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 5 Insights into four months of mobility tracking
Lennart Adenaw, David Ziegler, Nico Nachtigall +5
In spring 2022, the German federal government agreed on a set of measures that aim at reducing households' financial burden resulting from a recent price increase, especially in en…
A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 2 First wave results
Fabienne Cantner, Nico Nachtigall, Lisa S. Hamm +7
In spring 2022, the German federal government agreed on a set of measures that aim at reducing households' financial burden resulting from a recent price increase, especially in en…
A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 1 Study design, recruiting and participation
Allister Loder, Fabienne Cantner, Lennart Adenaw +4
In spring 2022, the German federal government agreed on a set of measures that aim at reducing households' financial burden resulting from a recent price increase, especially in en…
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge
Johannes Betz, Tobias Betz, Felix Fent +16
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…
Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits
Alexander Wischnewski, Maximilian Geisslinger, Johannes Betz +15
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…
Unified Mobility Estimation Mode
David Ziegler, Johannes Betz, Markus Lienkamp
In literature, scientists describe human mobility in a range of granularities by several different models. Using frameworks like MATSIM, VehiLux, or Sumo, they often derive individ…
Radar Voxel Fusion for 3D Object Detection
Felix Nobis, Ehsan Shafiei, Phillip Karle +2
Automotive traffic scenes are complex due to the variety of possible scenarios, objects, and weather conditions that need to be handled. In contrast to more constrained environment…
Real-Time Adaptive Velocity Optimization for Autonomous Electric Cars at the Limits of Handling
Thomas Herrmann, Alexander Wischnewski, Leonhard Hermansdorfer +2
With the evolution of self-driving cars, autonomous racing series like Roborace and the Indy Autonomous Challenge are rapidly attracting growing attention. Researchers participatin…
Benchmarking of a software stack for autonomous racing against a professional human race driver
Leonhard Hermansdorfer, Johannes Betz, Markus Lienkamp
The way to full autonomy of public road vehicles requires the step-by-step replacement of the human driver, with the ultimate goal of replacing the driver completely. Eventually, t…
Multilayer Graph-Based Trajectory Planning for Race Vehicles in Dynamic Scenarios
Tim Stahl, Alexander Wischnewski, Johannes Betz +1
Trajectory planning at high velocities and at the handling limits is a challenging task. In order to cope with the requirements of a race scenario, we propose a far-sighted two ste…
Energy Management Strategy for an Autonomous Electric Racecar using Optimal Control
Thomas Herrmann, Fabian Christ, Johannes Betz +1
The automation of passenger vehicles is becoming more and more widespread, leading to full autonomy of cars within the next years. Furthermore, sustainable electric mobility is gai…
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection
Felix Nobis, Maximilian Geisslinger, Markus Weber +2
Object detection in camera images, using deep learning has been proven successfully in recent years. Rising detection rates and computationally efficient network structures are pus…
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM Extension
Felix Nobis, Odysseas Papanikolaou, Johannes Betz +1
Electric vhicles and autonomous driving dominate current research efforts in the automotive sector. The two topics go hand in hand in terms of enabling safer and more environmental…
Exploring the Capabilities and Limits of 3D Monocular Object Detection -- A Study on Simulation and Real World Data
Felix Nobis, Fabian Brunhuber, Simon Janssen +2
3D object detection based on monocular camera data is a key enabler for autonomous driving. The task however, is ill-posed due to lack of depth information in 2D images. Recent dee…
Minimum Race-Time Planning-Strategy for an Autonomous Electric Racecar
Thomas Herrmann, Francesco Passigato, Johannes Betz +1
Increasing attention to autonomous passenger vehicles has also attracted interest in an autonomous racing series. Because of this, platforms such as Roborace and the Indy Autonomou…