A camera-only detect-and-avoid system for small drones, tested in simulation and real flights up to 144 km/h closure, but its advertised provable safety guarantee does not hold under the system's real perception limitations.
Robust Control Barrier Functions under High Relative Degree and Input Constraints for Satellite Trajectories
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abstract
This paper presents methodologies for constructing Control Barrier Functions (CBFs) for nonlinear, control-affine systems, in the presence of input constraints and bounded disturbances. More specifically, given a constraint function with high-relative-degree with respect to the system dynamics, the paper considers three methodologies, two for relative-degree 2 and one for higher relative-degrees, for creating CBFs whose zero sublevel sets are subsets of the constraint function's zero sublevel set. Three special forms of Robust CBFs (RCBFs) are developed as functions of the input constraints, system dynamics, and disturbance bounds, such that the resultant RCBF condition on the control input is always feasible for states in the RCBF zero sublevel set. The RCBF condition is then enforced in a switched fashion, which allows the system to operate safely without enforcing the RCBF condition when far from the safe set boundary and allows tuning of how closely trajectories approach the safe set boundary. The proposed methods are verified in simulations demonstrating the developed RCBFs in an asteroid flyby scenario for a satellite with low-thrust actuators, and in asteroid proximity operations for a satellite with high-thrust actuators.
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cs.RO 1years
2025 1verdicts
REJECT 1representative citing papers
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Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid
A camera-only detect-and-avoid system for small drones, tested in simulation and real flights up to 144 km/h closure, but its advertised provable safety guarantee does not hold under the system's real perception limitations.