no code implementations • 15 Mar 2024 • Yiheng Li, Hongyang Li, Zehao Huang, Hong Chang, Naiyan Wang
The versatility of SparseFusion is also validated in the temporal object detection task and 3D lane detection task.
no code implementations • 1 Dec 2023 • Yuxin Li, Qiang Han, Mengying Yu, Yuxin Jiang, Chaikiat Yeo, Yiheng Li, Zihang Huang, Nini Liu, Hsuanhan Chen, XiaoJun Wu
3D object detection in Bird's-Eye-View (BEV) space has recently emerged as a prevalent approach in the field of autonomous driving.
no code implementations • 18 Sep 2023 • Yiheng Li, Seth Z. Zhao, Chenfeng Xu, Chen Tang, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan
We propose to augment both HD maps and trajectories and apply pre-training strategies on top of them.
1 code implementation • 5 May 2023 • Canhui Tang, Yiheng Li, Shaoyi Du, Guofa Wang, Zhiqiang Tian
Feature Descriptors and Detectors are two main components of feature-based point cloud registration.
1 code implementation • 29 Mar 2023 • Yiheng Li, Canhui Tang, Runzhao Yao, Aixue Ye, Feng Wen, Shaoyi Du
Firstly, we propose to use salient points with prominent local features as nodes to increase patch repeatability, and introduce some uniformly distributed points to complete the point cloud, thus constituting hybrid points.
no code implementations • 27 Jul 2022 • Yiheng Li, Connelly Barnes, Kun Huang, Fang-Lue Zhang
Optical flow computation is essential in the early stages of the video processing pipeline.
no code implementations • 7 Aug 2021 • Xianghao Zhan, Yiheng Li, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
However, due to different kinematic characteristics, many brain injury risk estimation models are not generalizable across the variety of impacts that humans may sustain.
no code implementations • 19 Apr 2021 • Xianghao Zhan, Yiheng Li, Yuzhe Liu, Nicholas J. Cecchi, Samuel J. Raymond, Zhou Zhou, Hossein Vahid Alizadeh, Jesse Ruan, Saeed Barbat, Stephen Tiernan, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
A random forest classifier with spectral densities of linear acceleration and angular velocity was built to classify head impact types (e. g., football, car crash, mixed martial arts).
no code implementations • 9 Feb 2021 • Xianghao Zhan, Yiheng Li, Yuzhe Liu, August G. Domel, Hossein Vahid Alizadeh, Zhou Zhou, Nicholas J. Cecchi, Samuel J. Raymond, Stephen Tiernan, Jesse Ruan, Saeed Barbat, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
To better design brain injury criteria, the predictive power of rotational kinematics factors, which are different in 1) the derivative order (angular velocity, angular acceleration, angular jerk), 2) the direction and 3) the power (e. g., square-rooted, squared, cubic) of the angular velocity, were analyzed based on different datasets including laboratory impacts, American football, mixed martial arts (MMA), NHTSA automobile crashworthiness tests and NASCAR crash events.
no code implementations • 18 Dec 2020 • Xianghao Zhan, Yiheng Li, Yuzhe Liu, August G. Domel, Hossein Vahid Alizadeh, Samuel J. Raymond, Jesse Ruan, Saeed Barbat, Stephen Tiernan, Olivier Gevaert, Michael Zeineh, Gerald Grant, David B. Camarillo
The results show a significant difference in the relationship between BIC and brain strain across datasets, indicating the same BIC value may suggest different brain strain in different head impact types.