4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2023
PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud Prediction
Zhen Luo, Junyi Ma, Zijie Zhou +1
The ability to predict future structure features of environments based on past perception information is extremely needed by autonomous vehicles, which helps to make the following…
cs.CV2023★ 4 cited
CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR Data
Junyi Ma, Guangming Xiong, Jingyi Xu +1
LiDAR-based place recognition (LPR) is one of the most crucial components of autonomous vehicles to identify previously visited places in GPS-denied environments. Most existing LPR…
cs.CV2022★ 1 cited
SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data
Junyi Ma, Xieyuanli Chen, Jingyi Xu +1
Place recognition is an important component for autonomous vehicles to achieve loop closing or global localization. In this paper, we tackle the problem of place recognition based…