Autonomous vehicles on the edge: A survey on autonomous vehicle racing
The rising popularity of self-driving cars has led to the emergence of a new research field in
recent years: Autonomous racing. Researchers are developing software and hardware for …
recent years: Autonomous racing. Researchers are developing software and hardware for …
Learning-based model predictive control for autonomous racing
In this letter, we present a learning-based control approach for autonomous racing with an
application to the AMZ Driverless race car gotthard. One major issue in autonomous racing …
application to the AMZ Driverless race car gotthard. One major issue in autonomous racing …
Segmatch: Segment based place recognition in 3d point clouds
Place recognition in 3D data is a challenging task that has been commonly approached by
adapting image-based solutions. Methods based on local features suffer from ambiguity and …
adapting image-based solutions. Methods based on local features suffer from ambiguity and …
Drift with devil: Security of {Multi-Sensor} fusion based localization in {High-Level} autonomous driving under {GPS} spoofing
For high-level Autonomous Vehicles (AV), localization is highly security and safety critical.
One direct threat to it is GPS spoofing, but fortunately, AV systems today predominantly use …
One direct threat to it is GPS spoofing, but fortunately, AV systems today predominantly use …
AMZ driverless: The full autonomous racing system
This paper presents the algorithms and system architecture of an autonomous racecar. The
introduced vehicle is powered by a software stack designed for robustness, reliability, and …
introduced vehicle is powered by a software stack designed for robustness, reliability, and …
Optimization-based hierarchical motion planning for autonomous racing
JL Vázquez, M Brühlmeier, A Liniger… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
In this paper 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 …
vehicle model is used in a two level optimization framework for motion planning. The high …
Towards resilient autonomous navigation of drones
Robots and particularly drones are especially useful in exploring extreme environments that
pose hazards to humans. To ensure safe operations in these situations, usually perceptually …
pose hazards to humans. To ensure safe operations in these situations, usually perceptually …
[HTML][HTML] Infrastructure-aided localization and state estimation for autonomous mobile robots
A slip-aware localization framework is proposed for mobile robots experiencing wheel slip in
dynamic environments. The framework fuses infrastructure-aided visual tracking data (via …
dynamic environments. The framework fuses infrastructure-aided visual tracking data (via …
A holistic motion planning and control solution to challenge a professional racecar driver
We present a holistically designed three layer control architecture capable of outperforming
a professional driver racing the same car. Our approach focuses on the co-design of the …
a professional driver racing the same car. Our approach focuses on the co-design of the …
End-to-end velocity estimation for autonomous racing
Velocity estimation plays a central role in driverless vehicles, but standard, and affordable
methods struggle to cope with extreme scenarios like aggressive maneuvers due to the …
methods struggle to cope with extreme scenarios like aggressive maneuvers due to the …