Fault detection, isolation, identification and recovery (fdiir) methods for automotive perception sensors including a detailed literature survey for lidar

T Goelles, B Schlager, S Muckenhuber - Sensors, 2020 - mdpi.com
Perception sensors such as camera, radar, and lidar have gained considerable popularity in
the automotive industry in recent years. In order to reach the next step towards automated …

Weather influence and classification with automotive lidar sensors

R Heinzler, P Schindler, J Seekircher… - 2019 IEEE intelligent …, 2019 - ieeexplore.ieee.org
Lidar sensors are often used in mobile robots and autonomous vehicles to complement
camera, radar and ultrasonic sensors for environment perception. Typically, perception …

Cnn-based lidar point cloud de-noising in adverse weather

R Heinzler, F Piewak, P Schindler… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
Lidar sensors are frequently used in environment perception for autonomous vehicles and
mobile robotics to complement camera, radar, and ultrasonic sensors. Adverse weather …

Testing and validation of automotive point-cloud sensors in adverse weather conditions

M Jokela, M Kutila, P Pyykönen - Applied Sciences, 2019 - mdpi.com
Light detection and ranging sensors (LiDARS) are the most promising devices for range
sensing in automated cars and therefore, have been under intensive development for the …

Benchmarking lidar sensors for development and evaluation of automotive perception

F Schalling, S Ljungberg… - 2019 4th International …, 2019 - ieeexplore.ieee.org
Environment perception and representation are some of the most critical tasks in automated
driving. To meet the stringent needs of safety standards such as ISO 26262 there is a need …

An automotive LiDAR performance test method in dynamic driving conditions

J Park, J Cho, S Lee, S Bak, Y Kim - Sensors, 2023 - mdpi.com
The Light Detection and Ranging (LiDAR) sensor has become essential to achieving a high
level of autonomous driving functions, as well as a standard Advanced Driver Assistance …

A general approach for simulating rain effects on sensor data in real and virtual environments

S Hasirlioglu, A Riener - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Driving automation systems typically use surround sensors to perceive their local
environment. Accidents with automated vehicles have shown that errors in sensor data …

Method and applications of LiDAR modeling for virtual testing of intelligent vehicles

J Zhao, Y Li, B Zhu, W Deng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the common use of lidar sensors on intelligent vehicles, the simulation of lidar in
autonomous driving is necessary. This study proposes an innovative lidar modeling method …

Introduction to rain and fog attenuation on automotive surround sensors

S Hasirlioglu, A Riener - 2017 IEEE 20th International …, 2017 - ieeexplore.ieee.org
Introduction to Rain and Fog Attenuation on Automotive Surround Sensors Page 1
Introduction to Rain and Fog Attenuation on Automotive Surround Sensors Sinan …

Simulating realistic rain, snow, and fog variations for comprehensive performance characterization of lidar perception

S Teufel, G Volk, A Von Bernuth… - 2022 IEEE 95th …, 2022 - ieeexplore.ieee.org
For robust object detection on LiDAR data, neural networks have to be trained on diverse
datasets that contain many different environmental influences like rain, snow, or fog. To this …