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 Survey of Autonomous Driving: Common Practices and Emerging Technologies
Automated driving systems (ADSs) promise a safe, comfortable and efficient driving
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …
Self-supervised sparse-to-dense: Self-supervised depth completion from lidar and monocular camera
Depth completion, the technique of estimating a dense depth image from sparse depth
measurements, has a variety of applications in robotics and autonomous driving. However …
measurements, has a variety of applications in robotics and autonomous driving. However …
The architectural implications of autonomous driving: Constraints and acceleration
Autonomous driving systems have attracted a significant amount of interest recently, and
many industry leaders, such as Google, Uber, Tesla, and Mobileye, have invested a large …
many industry leaders, such as Google, Uber, Tesla, and Mobileye, have invested a large …
L3-net: Towards learning based lidar localization for autonomous driving
We present L3-Net-a novel learning-based LiDAR localization system that achieves
centimeter-level localization accuracy, comparable to prior state-of-the-art systems with …
centimeter-level localization accuracy, comparable to prior state-of-the-art systems with …
Range image-based LiDAR localization for autonomous vehicles
Robust and accurate, map-based localization is crucial for autonomous mobile systems. In
this paper, we exploit range images generated from 3D LiDAR scans to address the problem …
this paper, we exploit range images generated from 3D LiDAR scans to address the problem …
OverlapNet: A siamese network for computing LiDAR scan similarity with applications to loop closing and localization
Localization and mapping are key capabilities of autonomous systems. In this paper, we
propose a modified Siamese network to estimate the similarity between pairs of LiDAR …
propose a modified Siamese network to estimate the similarity between pairs of LiDAR …
High definition map for automated driving: Overview and analysis
R Liu, J Wang, B Zhang - The Journal of Navigation, 2020 - cambridge.org
As one of the key enabling technologies for automated driving, High Definition (HD) Maps
have become a major research focus in recent years. While increasing research effort has …
have become a major research focus in recent years. While increasing research effort has …
Robust and precise vehicle localization based on multi-sensor fusion in diverse city scenes
We present a robust and precise localization system that achieves centimeter-level
localization accuracy in disparate city scenes. Our system adaptively uses information from …
localization accuracy in disparate city scenes. Our system adaptively uses information from …
Simultaneous localization and mapping (slam) for autonomous driving: concept and analysis
The Simultaneous Localization and Mapping (SLAM) technique has achieved astonishing
progress over the last few decades and has generated considerable interest in the …
progress over the last few decades and has generated considerable interest in the …