Jike Wang (王纪科)

Fine-grained inspection of ferrous structures, such as steel rebars and iron pipes, is essential for ensuring structural health and integrity. Existing non-destructive imaging techniques often suffer from coarse spatial resolution, high operational costs, and limited mobility support, which restrict their practical deployment. We present MagLens, a mobile and cost-effective imaging system for inspecting ferrous structures such as rebars, metal studs, and iron pipes. Leveraging high-sensitivity commercial-off-the-shelf magnetometers, MagLens introduces a synthetic aperture of magnetic sensors (SAMS) together with a physics-informed neural imaging pipeline trained on synthetic data, enabling robust contour reconstruction and depth estimation with minimal effort. Results show that MagLens achieves contour reconstruction errors within 1 mm and depth estimation errors below 0.5 cm.

We discover that enabling both eavesdropping and non-invasive, per-key injection is viable on keyboards, in particular, the fast-emerging commodity Hall-effect keyboards. This paper introduces DualStrike, a new attack system that allows attackers to remotely listen to victim input and control any key on a Hall-effect keyboard. This capability opens doors to severe attacks (e.g., file deletion, private key theft, and tampering) based on the victim’s input and context, all without requiring hardware or software modifications to the victim’s computer. We present several key innovations in DualStrike, including a novel, compact electromagnet-based hardware design for high-frequency magnetic spoofing, a synchronization-free attack scheme, and a magnetometer-based listening mechanism using commercial off-the-shelf components. Our real-world experiments demonstrate that DualStrike can reliably compromise arbitrary keys across six recent Hall-effect keyboard models. Specifically, DualStrike achieves over 98.9% keystroke injection accuracy across all tested models. In an end-to-end test, the eavesdropping module achieves a high listening accuracy (i.e., above 99%). To improve the robustness of DualStrike, we implement a calibration algorithm to account for keyboard displacement, allowing it to maintain 98.5% injection accuracy even with offsets up to 4 cm. We also identified DualStrike’s immunity to existing magnetic shielding mechanisms and proposed a novel shielding approach for Hall-effect keyboards.

Fiducial marking is indispensable in mobile robots, including their pose calibration, contextual perception, and navigation. However, existing fiducial markers rely solely on vision-based perception which suffers such limitations as occlusion, energy overhead, and privacy leakage.We present Polaris, the first vision-free fiducial marking system, based on a novel, full-stack magnetic sensing design. Polaris can achieve reliable and accurate pose estimation and contextual perception, even in NLOS scenarios. Its core design includes: (1) a novel digital modulation scheme, Magnetic Orientation-shift Keying (MOSK) that can encode key information like waypoints and coordinates with passive magnets; (2) a robust and lightweight magnetic sensing framework to decode and localize the magnetic tags. Our design also equips Polaris with three key features: sufficient encoding capacity, robust detection accuracy, and low energy consumption. We have built an end-to-end system of Polaris and tested it extensively in real-world scenarios. The testing results have shown Polaris to achieve an accuracy of up to 0.58 mm and 1° in posture estimation with a power consumption of only 25.08 mW.

Road surface markings, like symbols and line markings, are vital traffic infrastructures for driving safety and efficiency. However, real-world conditions can impair the utility of existing road markings. For example, adverse weather conditions such as snow and rain can quickly obliterate visibility.We propose a novel MagnETic ROad marking system (METRO) for robust recognition of road markings at low cost and high deployability. METRO pairs (a) easily deployable passive magnetic road markings with (b) an automotive-grade magnetic sensing framework that detects and interprets these markings. The design of METRO addresses several real-world challenges, such as mitigating the impact of magnetic disturbances, lowering deployment costs, and enhancing the durability of magnetic tags. On-road field tests of METRO demonstrate an overall accuracy of over 96% in interpreting various road markings in adverse conditions with less cost (only 0.17 per meter) than traditional road markings (0.21–7.70 per meter). Our field evaluation of METRO over one month demonstrates the practicality and robustness of METRO in real-world settings. Specifically, we observed no performance degradation in the METRO sensor array and no damage or demagnetization to METRO’s magnetic tags.