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Mobile Robot Self-Localization with 2D Push-Broom LIDAR in a 2D Map [PDF]
, 2020 This paper proposes mobile robot self-localization based on an onboard 2D push-broom (or tilted-down) LIDAR using a reference 2D map previously obtained with a 2D horizontal LIDAR.
Clotet Bellmunt, Eduard +3 more
core +1 more source
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
IEEE International Conference on Computer Vision, 2019 Semantic scene understanding is important for various applications. In particular, self-driving cars need a fine-grained understanding of the surfaces and objects in their vicinity.
Jens Behley +6 more
semanticscholar +1 more source
Airborne LiDAR for DEM generation: some critical issues [PDF]
, 2008 Airborne LiDAR is one of the most effective and reliable means of terrain data collection. Using LiDAR data for DEM generation is becoming a standard practice in spatial related areas.
Liu, Xiaoye
core +2 more sources
RUNNING TO SAFETY: ANALYSIS OF DISASTER SUSCEPTIBILITY OF NEIGHBORHOODS AND PROXIMITY OF SAFETY FACILITIES IN SILAY CITY, PHILIPPINES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Going on foot is the most viable option when emergency responders fail to show up in disaster zones at the quickest and most reasonable time. In the Philippines, the efficacy of disaster management offices is hampered by factors such as, but not limited ...
C. L. Patiño +3 more
doaj +1 more source
FAST-LIVO2: Fast, Direct LiDAR–Inertial–Visual Odometry [PDF]
IEEE Transactions on roboticsThis paper presents FAST-LIVO2, a fast and direct LiDAR-inertial-visual odometry framework designed for accurate and robust state estimation in SLAM tasks, enabling real-time robotic applications.
Chunran Zheng +13 more
semanticscholar +1 more source
Breaking the temporal and frequency congestion of LiDAR by parallel chaos
Nature Photonics, 2023 The rising demand for high scanning accuracy and resolution in sensors for self-driving vehicles has led to the rapid development of parallelization in light detection and ranging (LiDAR) technologies. However, for the two major existing LiDAR categories—
Ruixuan Chen +8 more
semanticscholar +1 more source
LiDAR odometry survey: recent advancements and remaining challenges [PDF]
Intelligent Service Robotics, 2023 Odometry is crucial for robot navigation, particularly in situations where global positioning methods like global positioning system are unavailable. The main goal of odometry is to predict the robot’s motion and accurately determine its current location.
Dongjae Lee +3 more
semanticscholar +1 more source
Arbitrarily Accurate Dynamical Control in Open Quantum Systems [PDF]
, 2010 We show that open-loop dynamical control techniques may be used to synthesize unitary transformations in open quantum systems in such a way that decoherence is perturbatively compensated for to a desired (in principle arbitrarily high) level of accuracy,
Khodjasteh, Kaveh +2 more
core +3 more sources
Micromachines, 2023 Atmospheric particulate pollution poses a great danger to the environment and human health, and there is a strong need to develop equipment for collecting and separating particulate matter of different particle sizes to study the effects of particulate ...
Ruofei Wang +3 more
doaj +1 more source
Lidar for Autonomous Driving: The Principles, Challenges, and Trends for Automotive Lidar and Perception Systems [PDF]
IEEE Signal Processing Magazine, 2020 Autonomous vehicles rely on their perception systems to acquire information about their immediate surroundings. It is necessary to detect the presence of other vehicles, pedestrians, and other relevant entities.
You Li, J. Ibañez-Guzmán
semanticscholar +1 more source