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Florian Achermann

7 accepted papers

2024

Energy-Optimized Planning in Non-Uniform Wind Fields with Fixed-Wing Aerial Vehicles

IROS 2024poster

Fixed-wing small uncrewed aerial vehicles (sUAVs) possess the capability to remain airborne for extended durations and traverse vast distances. However, their operation is susceptible to wind conditions, particularly in regions of complex terrain where high wind speeds may push the aircraft beyond i…

Cited by 4SourceScholar
2024

Safe Low-Altitude Navigation in Steep Terrain With Fixed-Wing Aerial Vehicles

RA-L 2024

Fixed-wing aerial vehicles provide an efficient way to navigate long distances or cover large areas for environmental monitoring applications. By design, they also require large open spaces due to limited maneuverability. However, strict regulatory and safety altitude limits constrain the available

Cited by 9SourcecodeScholar
2024

Watching the Air Rise: Learning-Based Single-Frame Schlieren Detection

ICRA 2024poster

Detecting air flows caused by phenomena such as heat convection is valuable in multiple scenarios, including leak identification and locating thermal updrafts for extending UAV flight duration. Unfortunately, the heat signature of these flows is often too subtle to be seen by a thermal camera. While…

Cited by 0SourceScholar
2023

Fisher Information Based Active Planning for Aerial Photogrammetry

ICRA 2023poster

Small uncrewed aerial systems (sUASs) are useful tools for 3D reconstruction due to their speed, ease of use, and ability to access high-utility viewpoints. Today, most aerial survey approaches generate a preplanned coverage pattern assuming a planar target region. However, this is inefficient since…

Cited by 10SourceScholar
2021

Learn to Path: Using neural networks to predict Dubins path characteristics for aerial vehicles in wind

ICRA 2021poster

For asymptotically optimal sampling-based path planners such as RRT*, path quality improves as the number of samples added to the motion tree increases. However, each additional sample requires a nearest-neighbor search. Calculating state transition costs can be particularly difficult in cases with…

Cited by 2SourceScholar
2020

MultiPoint: Cross-spectral registration of thermal and optical aerial imagery

CoRL 2020

While optical cameras are ubiquitous in robotics, some robots can sense the world in several sections of the electromagnetic spectrum simultaneously, which can extend their capabilities in fundamental ways. For instance, many fixed-wing UAVs carry both optical and thermal imaging cameras, potentiall

2019

Learning to Predict the Wind for Safe Aerial Vehicle Planning

ICRA 2019poster

Obtaining an accurate estimate of the local wind remains a significant challenge for small unmanned aerial vehicles (UAVs). Small UAVs often operate at low altitudes near terrain, where the wind environment can be more complex than at higher altitudes. Combined with their relatively low mass, this m…

Cited by 19SourceScholar