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 …

A survey on 3d object detection methods for autonomous driving applications

E Arnold, OY Al-Jarrah, M Dianati… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
An autonomous vehicle (AV) requires an accurate perception of its surrounding environment
to operate reliably. The perception system of an AV, which normally employs machine …

3D object detection for autonomous driving: A comprehensive survey

J Mao, S Shi, X Wang, H Li - International Journal of Computer Vision, 2023 - Springer
Autonomous driving, in recent years, has been receiving increasing attention for its potential
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …

[HTML][HTML] 3D object detection for autonomous driving: Methods, models, sensors, data, and challenges

A Ghasemieh, R Kashef - Transportation Engineering, 2022 - Elsevier
Detection of the surrounding objects of a vehicle is the most crucial step in autonomous
driving. Failure to identify those objects correctly in a timely manner can cause irreparable …

[PDF][PDF] A comprehensive survey of deep learning multisensor fusion-based 3d object detection for autonomous driving: Methods, challenges, open issues, and future …

S Alaba, A Gurbuz, J Ball - TechRxiv, 2022 - academia.edu
Autonomous driving requires accurate, robust, and fast decision-making perception systems
to understand the driving environment. Object detection is critical in allowing the perception …

Performance and challenges of 3D object detection methods in complex scenes for autonomous driving

K Wang, T Zhou, X Li, F Ren - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
How to ensure robust and accurate 3D object detection under various environment is
essential for autonomous driving (AD) environment perception. While, until now, most of the …

Emerging Trends in Autonomous Vehicle Perception: Multimodal Fusion for 3D Object Detection

SY Alaba, AC Gurbuz, JE Ball - World Electric Vehicle Journal, 2024 - mdpi.com
The pursuit of autonomous driving relies on developing perception systems capable of
making accurate, robust, and rapid decisions to interpret the driving environment effectively …

Deep learning-based perception systems for autonomous driving: A comprehensive survey

LH Wen, KH Jo - Neurocomputing, 2022 - Elsevier
With the rapid development of society and the economy, autonomous driving techniques are
widely applied in many areas, such as autonomous vehicles, autonomous drones, and …

AD PerDevKit: An autonomous driving perception development kit using CARLA simulator and ROS

J de la Peña, LM Bergasa, M Antunes… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
Every now and then a new dataset appears that aims to help training computer vision
models for autonomous vehicles (AVs), being KITTI [1] the most famous, but others like …

3D object detection for autonomous driving: A survey

R Qian, X Lai, X Li - Pattern Recognition, 2022 - Elsevier
Autonomous driving is regarded as one of the most promising remedies to shield human
beings from severe crashes. To this end, 3D object detection serves as the core basis of …