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 …

Robust odometry and mapping for multi-lidar systems with online extrinsic calibration

J Jiao, H Ye, Y Zhu, M Liu - IEEE Transactions on Robotics, 2021 - ieeexplore.ieee.org
Combining multiple LiDARs enables a robot to maximize its perceptual awareness of
environments and obtain sufficient measurements, which is promising for simultaneous …

[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 …

Survey of extrinsic calibration on lidar-camera system for intelligent vehicle: Challenges, approaches, and trends

P An, J Ding, S Quan, J Yang, Y Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
A system with light detection and ranging (LiDAR) and camera (named as LiDAR-camera
system) plays the essential role in intelligent vehicle (IV), for it provides 3D spatial and 2D …

Asynchronous multiple lidar-inertial odometry using point-wise inter-lidar uncertainty propagation

M Jung, S Jung, A Kim - IEEE Robotics and Automation Letters, 2023 - ieeexplore.ieee.org
In recent years, multiple Light Detection and Ranging (LiDAR) systems have grown in
popularity due to their enhanced accuracy and stability from the increased field of view …

Accurate and robust visual localization system in large-scale appearance-changing environments

Y Yu, P Yun, B Xue, J Jiao, R Fan… - IEEE/ASME Transactions …, 2022 - ieeexplore.ieee.org
Localization in large-scale environments with robust performance is a persistent challenge
for mobile robots. This article proposes a novel system to achieve accurate and robust visual …

[HTML][HTML] A robust framework for simultaneous localization and mapping with multiple non-repetitive scanning lidars

Y Wang, Y Lou, Y Zhang, W Song, F Huang, Z Tu - Remote Sensing, 2021 - mdpi.com
With the ability to provide long range, highly accurate 3D surrounding measurements, while
lowering the device cost, non-repetitive scanning Livox lidars have attracted considerable …

Dual LIDAR online calibration and mapping and perception system

P Zheng, Z Li, S Zheng, H Zhang… - … Science and Technology, 2023 - iopscience.iop.org
Making autonomous mobile devices capable of autonomous positioning and map building
in a GPS-denied environment as well as being able to circumvent people in the operating …

Automated extrinsic calibration for 3D LiDARs with range offset correction using an arbitrary planar board

J Kim, C Kim, Y Han, HJ Kim - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
This paper proposes an automatic and accuracy-enhanced extrinsic calibration method for
3D LiDARs with a range offset correction, which needs only an arbitrarily-shaped single …

HPCR-VI: Heterogeneous point cloud registration for vehicle-infrastructure collaboration

Y Zhao, X Zhang, S Zhang, S Qiu… - 2023 IEEE Intelligent …, 2023 - ieeexplore.ieee.org
The perceptual information acquired by a single vehicle-side LiDAR in autonomous driving
is limited, and this phenomenon is more prominent at intersections where vehicles are …