Perception and sensing for autonomous vehicles under adverse weather conditions: A survey
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 …
industry and offer new possibilities for future transportation with higher efficiency and …
An overview of lidar imaging systems for autonomous vehicles
S Royo, M Ballesta-Garcia - Applied sciences, 2019 - mdpi.com
Lidar imaging systems are one of the hottest topics in the optronics industry. The need to
sense the surroundings of every autonomous vehicle has pushed forward a race dedicated …
sense the surroundings of every autonomous vehicle has pushed forward a race dedicated …
Robo3d: Towards robust and reliable 3d perception against corruptions
The robustness of 3D perception systems under natural corruptions from environments and
sensors is pivotal for safety-critical applications. Existing large-scale 3D perception datasets …
sensors is pivotal for safety-critical applications. Existing large-scale 3D perception datasets …
Lidar snowfall simulation for robust 3d object detection
Abstract 3D object detection is a central task for applications such as autonomous driving, in
which the system needs to localize and classify surrounding traffic agents, even in the …
which the system needs to localize and classify surrounding traffic agents, even in the …
Radiate: A radar dataset for automotive perception in bad weather
Datasets for autonomous cars are essential for the development and benchmarking of
perception systems. However, most existing datasets are captured with camera and LiDAR …
perception systems. However, most existing datasets are captured with camera and LiDAR …
A review and perspective on optical phased array for automotive LiDAR
CP Hsu, B Li, B Solano-Rivas, AR Gohil… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
This paper aims to review the state of the art of Light Detection and Ranging (LiDAR)
sensors for automotive applications, and particularly for automated vehicles, focusing on …
sensors for automotive applications, and particularly for automated vehicles, focusing on …
Robust multimodal vehicle detection in foggy weather using complementary lidar and radar signals
Vehicle detection with visual sensors like lidar and camera is one of the critical functions
enabling autonomous driving. While they generate fine-grained point clouds or high …
enabling autonomous driving. While they generate fine-grained point clouds or high …
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 …
The perception system of intelligent ground vehicles in all weather conditions: A systematic literature review
Perception is a vital part of driving. Every year, the loss in visibility due to snow, fog, and rain
causes serious accidents worldwide. Therefore, it is important to be aware of the impact of …
causes serious accidents worldwide. Therefore, it is important to be aware of the impact of …
Cramnet: Camera-radar fusion with ray-constrained cross-attention for robust 3d object detection
Robust 3D object detection is critical for safe autonomous driving. Camera and radar
sensors are synergistic as they capture complementary information and work well under …
sensors are synergistic as they capture complementary information and work well under …