Search Results for author: Junyi Ma

Found 9 papers, 9 papers with code

Explicit Interaction for Fusion-Based Place Recognition

1 code implementation27 Feb 2024 Jingyi Xu, Junyi Ma, Qi Wu, Zijie Zhou, Yue Wang, Xieyuanli Chen, Ling Pei

Fusion-based place recognition is an emerging technique jointly utilizing multi-modal perception data, to recognize previously visited places in GPS-denied scenarios for robots and autonomous vehicles.

Autonomous Vehicles

PC-NeRF: Parent-Child Neural Radiance Fields Using Sparse LiDAR Frames in Autonomous Driving Environments

1 code implementation14 Feb 2024 Xiuzhong Hu, Guangming Xiong, Zheng Zang, Peng Jia, Yuxuan Han, Junyi Ma

With extensive experiments, PC-NeRF is proven to achieve high-precision novel LiDAR view synthesis and 3D reconstruction in large-scale scenes.

3D Reconstruction 3D Scene Reconstruction +2

Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications

1 code implementation29 Nov 2023 Junyi Ma, Xieyuanli Chen, Jiawei Huang, Jingyi Xu, Zhen Luo, Jintao Xu, Weihao Gu, Rui Ai, Hesheng Wang

Furthermore, the standardized evaluation protocol for preset multiple tasks is also provided to compare the performance of all the proposed baselines on present and future occupancy estimation with respect to objects of interest in autonomous driving scenarios.

Autonomous Driving

LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place Recognition

1 code implementation6 Nov 2023 Zijie Zhou, Jingyi Xu, Guangming Xiong, Junyi Ma

However, most existing multimodal place recognition methods only use limited field-of-view camera images, which leads to an imbalance between features from different modalities and limits the effectiveness of sensor fusion.

Autonomous Vehicles Sensor Fusion

PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud Prediction

1 code implementation16 Apr 2023 Zhen Luo, Junyi Ma, Zijie Zhou, Guangming Xiong

In this letter, we propose a novel efficient Transformer-based network to predict the future LiDAR point clouds exploiting the past point cloud sequences.

Autonomous Vehicles Decision Making +2

CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR Data

1 code implementation3 Feb 2023 Junyi Ma, Guangming Xiong, Jingyi Xu, Xieyuanli Chen

LiDAR-based place recognition (LPR) is one of the most crucial components of autonomous vehicles to identify previously visited places in GPS-denied environments.

Autonomous Vehicles

SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data

1 code implementation16 Sep 2022 Junyi Ma, Xieyuanli Chen, Jingyi Xu, Guangming Xiong

It uses multi-scale transformers to generate a global descriptor for each sequence of LiDAR range images in an end-to-end fashion.

Autonomous Vehicles

A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles

1 code implementation22 Feb 2022 Jingyi Xu, Zirui Li, Li Gao, Junyi Ma, Qi Liu, Yanan Zhao

Different exploration methods of DRL, including adding action space noise and parameter space noise, are compared against each other in the transfer learning process in this work.

energy management Management +3

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