Implicit Point Function for LiDAR Super-Resolution in Autonomous Driving

Author:

Park Minseong1ORCID,Son Haengseon2ORCID,Kim Euntai1ORCID

Affiliation:

1. School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea

2. Korea Electronics Technology Institute, Seongnam, South Korea

Funder

Institute of Information and Communications Technology Planning and Evaluation

Ministry of Science and ICT, South Korea

Development of Driving Environment Data Transformation and Data Verification Technology for the Mutual Utilization of Self-driving Learning Data for Different Vehicles

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Reference25 articles.

1. Attention is all you need;vaswani;Proc Adv Neural Inf Process Syst,0

2. Implicit LiDAR Network: LiDAR Super-Resolution via Interpolation Weight Prediction

3. CARLA: An open urban driving simulator;dosovitskiy;Proc 1st Annu Conf Robot Learn,0

4. An image is worth 16x16 words: Transformers for image recognition at scale;dosovitskiy;Proc Int Conf Learn Representations,0

5. Learning Continuous Image Representation with Local Implicit Image Function

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