Fault detection, isolation, identification and recovery (fdiir) methods for automotive perception sensors including a detailed literature survey for lidar
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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
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 …
datasets that contain many different environmental influences like rain, snow, or fog. To this …