2,407 research outputs found
Robust and accurate depth estimation by fusing LiDAR and Stereo
Depth estimation is one of the key technologies in some fields such as
autonomous driving and robot navigation. However, the traditional method of
using a single sensor is inevitably limited by the performance of the sensor.
Therefore, a precision and robust method for fusing the LiDAR and stereo
cameras is proposed. This method fully combines the advantages of the LiDAR and
stereo camera, which can retain the advantages of the high precision of the
LiDAR and the high resolution of images respectively. Compared with the
traditional stereo matching method, the texture of the object and lighting
conditions have less influence on the algorithm. Firstly, the depth of the
LiDAR data is converted to the disparity of the stereo camera. Because the
density of the LiDAR data is relatively sparse on the y-axis, the converted
disparity map is up-sampled using the interpolation method. Secondly, in order
to make full use of the precise disparity map, the disparity map and stereo
matching are fused to propagate the accurate disparity. Finally, the disparity
map is converted to the depth map. Moreover, the converted disparity map can
also increase the speed of the algorithm. We evaluate the proposed pipeline on
the KITTI benchmark. The experiment demonstrates that our algorithm has higher
accuracy than several classic methods
Audio Generation with Multiple Conditional Diffusion Model
Text-based audio generation models have limitations as they cannot encompass
all the information in audio, leading to restricted controllability when
relying solely on text. To address this issue, we propose a novel model that
enhances the controllability of existing pre-trained text-to-audio models by
incorporating additional conditions including content (timestamp) and style
(pitch contour and energy contour) as supplements to the text. This approach
achieves fine-grained control over the temporal order, pitch, and energy of
generated audio. To preserve the diversity of generation, we employ a trainable
control condition encoder that is enhanced by a large language model and a
trainable Fusion-Net to encode and fuse the additional conditions while keeping
the weights of the pre-trained text-to-audio model frozen. Due to the lack of
suitable datasets and evaluation metrics, we consolidate existing datasets into
a new dataset comprising the audio and corresponding conditions and use a
series of evaluation metrics to evaluate the controllability performance.
Experimental results demonstrate that our model successfully achieves
fine-grained control to accomplish controllable audio generation. Audio samples
and our dataset are publicly available at
https://conditionaudiogen.github.io/conditionaudiogen/Comment: Submitted to AAAI 202
The , , and other compact states
We study the spectrum and rearrangement decays of S-wave
tetraquark states in a simplified quark model. The masses and widths are
estimated by assuming that the is the lower
tetraquark. Comparing our results with experimental
measurements, we find that the recently observed by LHCb can be
assigned as the lowest tetraquark state and the
could be the second lowest tetraquark.
Predictions of ratios between partial widths for the involved tetraquarks are
given. We call for searches for more tetraquarks with
, , and
Hidden-charm pentaquark states in a mass splitting model
Assuming that the is a compact
pentaquark, we study the mass spectrum of its S-wave hidden-charm partner
states in a color-magnetic interaction model. Combining the information from
their decays obtained in a simple rearrangement scheme, one finds that the
quantum numbers of , , and can be
assigned to be , , and
, respectively, while both and
can be interpreted as
compact states. Based on the numerical results, we also find narrow pentaquarks
in () and systems. The decay properties of
the studied pentaquarks and the searching channels for them can be tested in
future experiments.Comment: 17 pages, 14 tables, 4 figure
Doubly heavy tetraquark states in a mass splitting model
Treating the as a compact state
and using its mass as a reference scale, we systematically estimate the masses
of doubly heavy tetraquark states where and
. Their decay properties are studied with a simple rearrangement
scheme. Based on our results, the lowest
state is a stable tetraquark about 20 MeV below the
threshold. The mass and width of the low-mass
() tetraquark are compatible with the observed by the
LHCb Collaboration. The location of the lowest and
states are found to be close to the and
thresholds, respectively. We hope that the predicted ratios
between partial widths of different channels may be helpful to identify compact
tetraquark states from future measurements.Comment: 16 pages,3 figures,10 table
Field emission enhancement of Au-Si nano-particle-decorated silicon nanowires
Au-Si nano-particle-decorated silicon nanowire arrays have been fabricated by Au film deposition on silicon nanowire array substrates and then post-thermal annealing under hydrogen atmosphere. Field emission measurements illustrated that the turn-on fields of the non-annealed Au-coated SiNWs were 6.02 to 7.51 V/μm, higher than that of the as-grown silicon nanowires, which is about 5.01 V/μm. Meanwhile, after being annealed above 650°C, Au-Si nano-particles were synthesized on the top surface of the silicon nanowire arrays and the one-dimensional Au-Si nano-particle-decorated SiNWs had a much lower turn-on field, 1.95 V/μm. The results demonstrated that annealed composite silicon nanowire array-based electron field emitters may have great advantages over many other emitters
A low-crosstalk double-side addressing system using acousto-optic deflectors for atomic ion qubits
The ability to individually and agilely manipulate qubits is crucial for the
scalable trapped-ion quantum information processing. A plethora of challenging
proposals have been demonstrated with the utilization of optical addressing
systems, in which single ions is addressed exclusively by individual laser
beam. However, crosstalk error in optical addressing systems limits the gate
fidelity, becoming an obstacle to quantum computing, especially quantum error
correction. In this work, we demonstrate a low-crosstalk double-side addressing
system based on a pair of acousto-optic deflectors (AODs). The AODs addressing
method can flexibly and parallelly address arbitrary ions between which the
distance is variable in a chain. We employ two 0.4~NA objective lenses in both
arms of the Raman laser and obtain a beam waist of 0.95~,
resulting in a Rabi rate crosstalk as low as when the
neighboring ion separation is about 5.5~. This agile and
low-crosstalk double-side addressing system is promising for higher-fidelity
gates and the practical application of the quantum error correction
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