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 …
A review of vehicle detection techniques for intelligent vehicles
Z Wang, J Zhan, C Duan, X Guan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Robust and efficient vehicle detection is an important task of environment perception of
intelligent vehicles, which directly affects the behavior decision-making and motion planning …
intelligent vehicles, which directly affects the behavior decision-making and motion planning …
Automotive LiDAR technology: A survey
Nowadays, and more than a decade after the first steps towards autonomous driving, we
keep heading to achieve fully autonomous vehicles on our roads, with LiDAR sensors being …
keep heading to achieve fully autonomous vehicles on our roads, with LiDAR sensors being …
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 …
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 …
Performance and challenges of 3D object detection methods in complex scenes for autonomous driving
K Wang, T Zhou, X Li, F Ren - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
How to ensure robust and accurate 3D object detection under various environment is
essential for autonomous driving (AD) environment perception. While, until now, most of the …
essential for autonomous driving (AD) environment perception. While, until now, most of the …
Canadian adverse driving conditions dataset
The Canadian Adverse Driving Conditions (CADC) dataset was collected with the
Autonomoose autonomous vehicle platform, based on a modified Lincoln MKZ. The dataset …
Autonomoose autonomous vehicle platform, based on a modified Lincoln MKZ. The dataset …
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …
thereby improving plant breeding and management. Remote sensing techniques have …
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 …
Are we ready for radar to replace lidar in all-weather mapping and localization?
We present an extensive comparison between three topometric localization systems: radar-
only, lidar-only, and a cross-modal radar-to-lidar system across varying seasonal and …
only, lidar-only, and a cross-modal radar-to-lidar system across varying seasonal and …