Cargando…
Real-Time 3D Object Detection and SLAM Fusion in a Low-Cost LiDAR Test Vehicle Setup
Recently released research about deep learning applications related to perception for autonomous driving focuses heavily on the usage of LiDAR point cloud data as input for the neural networks, highlighting the importance of LiDAR technology in the field of Autonomous Driving (AD). In this sense, a...
Autores principales: | Fernandes, Duarte, Afonso, Tiago, Girão, Pedro, Gonzalez, Dibet, Silva, António, Névoa, Rafael, Novais, Paulo, Monteiro, João, Melo-Pinto, Pedro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8705987/ https://www.ncbi.nlm.nih.gov/pubmed/34960468 http://dx.doi.org/10.3390/s21248381 |
Ejemplares similares
-
Enhancing Solid State LiDAR Mapping with a 2D Spinning LiDAR in Urban Scenario SLAM on Ground Vehicles
por: Wei, Weichen, et al.
Publicado: (2021) -
Customizable FPGA-Based Hardware Accelerator for Standard Convolution Processes Empowered with Quantization Applied to LiDAR Data
por: Silva, João, et al.
Publicado: (2022) -
Resource-Constrained Onboard Inference of 3D Object Detection and Localisation in Point Clouds Targeting Self-Driving Applications
por: Silva, António, et al.
Publicado: (2021) -
LiDAR-Based Sensor Fusion SLAM and Localization for Autonomous Driving Vehicles in Complex Scenarios
por: Dai, Kai, et al.
Publicado: (2023) -
LiDAR Point Cloud Generation for SLAM Algorithm Evaluation
por: Sobczak, Łukasz, et al.
Publicado: (2021)