Perception and sensing for autonomous vehicles under adverse weather conditions: A survey

Y Zhang, A Carballo, H Yang, K Takeda - ISPRS Journal of …, 2023 - Elsevier
Abstract Automated Driving Systems (ADS) open up a new domain for the automotive
industry and offer new possibilities for future transportation with higher efficiency and …

Si photonics for practical LiDAR solutions

X Sun, L Zhang, Q Zhang, W Zhang - Applied Sciences, 2019 - mdpi.com
In the article the authors discuss light detection and ranging (LiDAR) for automotive
applications and the potential roles Si photonics can play in practice. The authors review …

Comparative analysis of radar and lidar technologies for automotive applications

I Bilik - IEEE Intelligent Transportation Systems Magazine, 2022 - ieeexplore.ieee.org
Radars and lidars are two primary sensor modalities complementing optical cameras in
active safety and autonomous driving applications. Radars and lidars operate at …

Fully integrated solid-state LiDAR transmitter on a multi-layer silicon-nitride-on-silicon photonic platform

W Xu, Y Guo, X Li, C Liu, L Lu, J Chen… - Journal of Lightwave …, 2022 - ieeexplore.ieee.org
We report a LiDAR transmitter incorporating both a hybrid-integrated tunable external cavity
laser and a high-resolution 2-D optical phased array beam-steerer. Widely tunable single …

Requirements for automotive lidar systems

Z Dai, A Wolf, PP Ley, T Glück, MC Sundermeier… - Sensors, 2022 - mdpi.com
Light detection and ranging (LiDAR) are fundamental sensors that help driving tasks for
autonomous driving at various levels. Commercially available systems come in different …

Vehicle-mounted imaging lidar with nonuniform distribution of instantaneous field of view

X Wang, J Zhu - Optics & Laser Technology, 2024 - Elsevier
Imaging lidar is an important sensor for use in vehicle environment perception systems, and
its field of view (FOV) and instantaneous field of view (IFOV) determine the system's spatial …

IPCONV: Convolution with Multiple Different Kernels for Point Cloud Semantic Segmentation

R Zhang, S Chen, X Wang, Y Zhang - Remote Sensing, 2023 - mdpi.com
The segmentation of airborne laser scanning (ALS) point clouds remains a challenge in
remote sensing and photogrammetry. Deep learning methods, such as KPCONV, have …

A 64× 64 SPAD flash LIDAR sensor using a triple integration timing technique with 1.95 mm depth resolution

D Morrison, S Kennedy, D Delic, MR Yuce… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
This paper presents a 64× 64 dual mode flash LIDAR sensor that utilizes a triple integration
timing technique. The sensor, fabricated in 130 nm HV CMOS, is capable of operating in …

Practical two-dimensional beam steering system using an integrated tunable laser and an optical phased array

W Ma, S Tan, K Wang, W Guo, Y Liu, L Liao, L Zhou… - Applied Optics, 2020 - opg.optica.org
A practical two-dimensional beam steering solid-state system based on the synthesis of one-
dimensional wavelength tuning and a one-dimensional optical phased array is …

A 2D pixelated optical beam scanner controlled by the laser wavelength

W Bogaerts, S Dwivedi, R Jansen… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
We present a chip-based optical beam scanner based on a dispersive optical phased array
(OPA) that illuminates the far field with a pixelated pattern. To scale up the OPA to a large …