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cs.CV2025
Fully Spiking Neural Networks for Unified Frame-Event Object Tracking
Jingjun Yang, Liangwei Fan, Jinpu Zhang +3
The integration of image and event streams offers a promising approach for achieving robust visual object tracking in complex environments. However, current fusion methods achieve…
cs.CV2025
A Plug-and-Play Learning-based IMU Bias Factor for Robust Visual-Inertial Odometry
Yang Yi, Kunqing Wang, Jinpu Zhang +4
Accurate and reliable estimation of biases of low-cost Inertial Measurement Units (IMU) is a key factor to maintain the resilience of Visual-Inertial Odometry (VIO), particularly w…