A review of 3D object detection for autonomous driving of electric vehicles

D Dai, Z Chen, P Bao, J Wang - World Electric Vehicle Journal, 2021 - mdpi.com
In recent years, electric vehicles have achieved rapid development. Intelligence is one of the
important trends to promote the development of electric vehicles. As a result, autonomous …

Dist-yolo: Fast object detection with distance estimation

M Vajgl, P Hurtik, T Nejezchleba - Applied sciences, 2022 - mdpi.com
We present a scheme of how YOLO can be improved in order to predict the absolute
distance of objects using only information from a monocular camera. It is fully integrated into …

The fusion strategy of 2d and 3d information based on deep learning: A review

J Zhao, Y Wang, Y Cao, M Guo, X Huang, R Zhang… - Remote Sensing, 2021 - mdpi.com
Recently, researchers have realized a number of achievements involving deep-learning-
based neural networks for the tasks of segmentation and detection based on 2D images, 3D …

Real-Time 3D Object Detection and SLAM Fusion in a Low-Cost LiDAR Test Vehicle Setup

D Fernandes, T Afonso, P Girão, D Gonzalez, A Silva… - Sensors, 2021 - mdpi.com
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 …

Survey and systematization of 3D object detection models and methods

M Drobnitzky, J Friederich, B Egger, P Zschech - The Visual Computer, 2024 - Springer
Strong demand for autonomous vehicles and the wide availability of 3D sensors are
continuously fueling the proposal of novel methods for 3D object detection. In this paper, we …