Human driver can easily describe the complex traffic scene by visual system. Such an ability
of precise perception is essential for driver's planning. To achieve this, a geometry-aware …

With the continuous maturation and application of autonomous driving technology, a
systematic examination of open-source autonomous driving datasets becomes instrumental …

A major challenge in monocular 3D object detection is the limited diversity and quantity of
objects in real datasets. While augmenting real scenes with virtual objects holds promise to …

The advancement of visual intelligence is intrinsically tethered to the availability of data. In
parallel, generative Artificial Intelligence (AI) has unlocked the potential to create synthetic …

Autonomous driving simulation system plays a crucial role in enhancing self-driving data
and simulating complex and rare traffic scenarios, ensuring navigation safety. However …

Neural Radiance Field (NeRF) has garnered significant attention from both academia and
industry due to its intrinsic advantages, particularly its implicit representation and novel view …

3D Gaussian Splatting (3D GS) has gained popularity due to its faster rendering speed and
high-quality novel view synthesis. Some researchers have explored using 3D GS for …

摘要作为神经渲染领域中备受关注的研究方向之一, 神经辐射场(NeRF) 提供了一种新颖的隐式
三维场景表示方式. 该方法将场景构想为由无数发光粒子组成的介质, 并应用可微分的体积渲染 …

Abstract The Multi-mOdality Cut and pAste (MoCa) method cuts data from other frames and
pastes it onto the current training data frame to increase the number of training object …

The diversity and scale of annotated real-world 3D datasets limit the performance of
monocular 3D detectors. Although data augmentation holds potential, creating realistic …