This paper proposes a robotic state estimation and map construction method. The traditional lidar SLAM methods are affected by sensor measurement noise, which causes the estimated trajectory to drift, especially along altitude direction caused noise. In this paper, ground parameters in environment extracted construct factors compress drifting using characteristics of constant robot pose relativ...

The assumption of scene rigidity is common in visual SLAM algorithms. However, it limits their applicability populated real-world environments. Furthermore, most scenarios including autonomous driving, multi-robot collaboration and augmented/virtual reality, require explicit motion information the surroundings to help with decision making understanding. We present this paper DynaSLAM II, a syst...

This work presents the design of a wideband circular tightly coupled array for omnidirectional pattern generation. The proposed works over an 8:1 bandwidth, providing very high performance in terms active reflection coefficient, realized gain, and patterns with reduced ripples. is composed 32 low-profile, self-complementary, bow-tie elements displaced around metallic mast. capacitive coupling b...

To date, CubeSat radars and imagers have been limited to operations beyond S-band due the challenges associated with design of wideband, compact, low-frequency antennas. Concurrently, frequencies at VHF/UHF bands can image through clouds foliage, are very attractive for ice, water biomass sensing. There is thus a need develop wideband antennas that operate which low cost, light-weight, packable...

Time series forecasting is essential for a wide range of real-world applications. Recent studies have shown the superiority Transformer in dealing with such problems, especially long sequence time input(LSTI) and forecasting(LSTF) problems. To improve efficiency enhance locality Transformer, these combine CNN varying degrees. However, their combinations are loosely-coupled do not make full use ...