Control Parameters Considered Harmful: Detecting Range Specification Bugs in Drone Configuration Modules via Learning-Guided Search

7 December 2021

Papers citing "Control Parameters Considered Harmful: Detecting Range Specification Bugs in Drone Configuration Modules via Learning-Guided Search"

5 / 5 papers shown

Title
Runtime Anomaly Detection for Drones: An Integrated Rule-Mining and Unsupervised-Learning Approach Ivan Tan Wei Minn Christopher M. Poskitt Lwin Khin Shar Lingxiao Jiang 24 0 0 03 May 2025
ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutation Shiwei Feng Yapeng Ye Qingkai Shi Zhiyuan Cheng Xiangzhe Xu Siyuan Cheng Hongjun Choi Xiangyu Zhang 33 1 0 12 Sep 2024
Understanding Misconfigurations in ROS: An Empirical Study and Current Approaches Paulo Canelas Bradley Schmerl Alcides Fonseca C. Timperley 49 0 0 27 Jul 2024
HIFuzz: Human Interaction Fuzzing for small Unmanned Aerial Vehicles Theodore Chambers Michael Vierhauser Ankit Agrawal Michael Murphy Jason Matthew Brauer Salil Purandare Myra B. Cohen Jane Cleland-Huang 6 5 0 18 Oct 2023
CToMP: A Cycle-task-oriented Memory Protection Scheme for Unmanned Systems Chengyan Ma Ning Xi Di Lu Yebo Feng Jianfeng Ma 11 1 0 12 Sep 2023