This is our latest selection of worldwide publications and patents in english on Autonomous Vehicles, between many scientific online journals, classified and focused on autonomous vehicle, self-driving, LIDAR, road mapping, fleet management, navigation algorithm and path planning.
Lidar near-field detection
Patent published on the 2026-06-11 in US under Ref US20260160863 by SEYOND INC [US] (Leng Xiandong [us], Wan Peng [us])
Abstract: A LiDAR system that includes an optical receiver and light detector including a first photodetector set of one or more first photodetectors disposed configured to detect return light corresponding to transmission light generated by the LiDAR system. The first photodetector set has a near-field blind zone corresponding to limited detection of return light corresponding to objects disposed in the near-field blind zone. The optical receiver and light detector may also include a second photodetector[...]
Our summary: The LiDAR system features a first set of photodetectors designed to detect return light but has a near-field blind zone. A second set of photodetectors is included to address the limitations of the first set. The second photodetectors are positioned closer to the window for improved detection of objects in the blind zone.
LiDAR, photodetector, near-field detection, optical receiver
Patent
Method, device, and system for evaluating performance of lidar sensor
Patent published on the 2026-06-11 in WO under Ref WO2026121567 by LG INNOTEK CO LTD [KR] (Kim Seokhyun [kr], Kim Sangwoo [kr])
Abstract: A method for verifying performance of a LiDAR sensor according to an embodiment of the present invention may comprise: a step for positioning the LiDAR sensor at a first position; a step for positioning a test target, in which one or more reflection targets are disposed, at a second position; a step for emitting light from the LiDAR sensor toward the test target; a step for acquiring a point cloud on the basis of reflected light when the emitted light is reflected from the one or more reflection[...]
Our summary: The method involves positioning a LiDAR sensor and a test target with reflection targets. Light is emitted from the sensor towards the test target to acquire a point cloud. Performance is evaluated by comparing the acquired point cloud with reference data.
LiDAR, performance evaluation, point cloud, test target
Patent
Direct time-of-flight lidar method for measuring the distance of an object
Patent published on the 2026-06-11 in WO under Ref WO2026120419 by FOND BRUNO KESSLER [IT] (Gasparini Leonardo [it], Tontini Alessandro [it])
Abstract: Direct time-of-flight LiDAR method for measuring the distance of an object, comprising: detecting a plurality of photons incident on a single-photon detector during a measurement cycle; assigning to each photon of the plurality of detected photons a respective timestamp, so as to generate a plurality of timestamps; calculating the shortest time interval AT between consecutive timestamps of said plurality of timestamps; and calculating the distance of the object based on the timestamp tmin,AT ass[...]
Our summary: The direct time-of-flight LiDAR method measures object distance by detecting photons with a single-photon detector. Each detected photon is assigned a timestamp to generate a series of timestamps. The shortest time interval between consecutive timestamps is used to calculate the object s distance.
time-of-flight, LiDAR, photon detection, distance measurement
Patent
Traffic law violation monitoring system using camera and lidar
Patent published on the 2026-06-04 in WO under Ref WO2026116680 by CHUNGBUK NATIONAL UNIV INDUSTRY ACADEMIC COOPERATION FOUNDATION [KR] (Park Tae Hyoung [kr], Kim Taek Lim [kr])
Abstract: The present invention relates to a traffic law violation monitoring system comprising: a sensor unit including a camera and a LiDAR; a preprocessing unit for preprocessing sensor data output from the camera and the LiDAR of the sensor unit; an object detection unit for detecting an object from the data preprocessed by the preprocessing unit; a bad weather detection unit for determining bad weather by using object detection result data output from the object detection unit; an object tracking uni[...]
Our summary: The system utilizes a camera and LiDAR for traffic law violation monitoring. It processes sensor data to detect and track objects, considering weather conditions. The system determines unexpected situations and assesses potential traffic law violations.
Traffic monitoring, LiDAR, object detection, law enforcement
Patent
Method and system for controlling an autonomous vehicle
Patent published on the 2026-06-04 in US under Ref US20260152197 by HYUNDAI AUTOEVER CORP [KR] (Kim Jong Gon [kr])
Abstract: [0000] A method for controlling an autonomous vehicle includes recognizing surrounding objects around the autonomous vehicle and displaying the surrounding objects on a display guiding an autonomous driving situation. The method also includes receiving a user gesture for adjusting an inter-vehicle spacing between the autonomous vehicle and a spacing-adjustment target object selected from the surrounding objects displayed on the display. The method additionally includes transmitting a control sig[...]
Our summary: The method controls an autonomous vehicle by recognizing surrounding objects and displaying them. It allows user gestures to adjust spacing between the vehicle and a target object. Control signals are then transmitted to manage the vehicle s travel according to the adjusted spacing.
autonomous vehicle, object recognition, user gesture, inter-vehicle spacing
Patent
Method and system for field lighting system commissioning
Patent published on the 2026-06-04 in US under Ref US20260156734 by ABL IP HOLDING LLC [US] (Nolan Christopher D [us], Casper Joseph R [us])
Abstract: [0000] A method of commissioning a lighting system includes: receiving a photometric plan for a group of light fixtures; receiving a digital image of a first luminaire of a first light fixture of the group, wherein the digital image is received from a camera that is connected to a second light fixture of the group; receiving LiDAR data that represents a LiDAR image of the first luminaire, wherein the LiDAR data is received from a LiDAR sensor that is connected to the second or another light fixt[...]
Our summary: A method for commissioning a lighting system involves receiving a photometric plan and digital images of light fixtures. It processes LiDAR data to determine the position and orientation of luminaires. The system compares these metrics to the plan and indicates compliance.
lighting system, commissioning, photometric plan, LiDAR data
Patent
Modeling and Correction of Underwater Photon-Counting LiDAR Returns Based on a Modified Biexponential Distribution
Published on 2026-02-03 by Jie Wang, Wei Hao, Songmao Chen, Meilin Xie, Heng Shi, Xiangyu Li, Xuezheng Lian, Xiuqin Su, Runqiang Xing, Lu Ding @MDPI
Abstract: Laser pulses experience significant temporal broadening in underwater environments due to strong turbulence and scattering effects. As water turbidity increases, the likelihood of multiple scattering events rises, further intensifying pulse broadening and thereby degrading the ranging accuracy of underwater single-photon LiDAR systems. Accurate characterization of the return pulse shape is crucial for precise distance extraction, typically achieved via cross-correlation with the system&r[...]
Our summary: This study introduces a Modified Biexponential Distribution model to accurately characterize the return pulse shape of underwater LiDAR systems. The model addresses the issues of pulse broadening caused by water turbidity and scattering, improving ranging accuracy. Experimental results show a significant reduction in Depth Absolute Error, confirming the model s effectiveness in enhancing underwater photon-counting LiDAR performance.
Photon-Counting, LiDAR, Biexponential Distribution, Underwater
Publication
Hybrid Mamba–Graph Fusion with Multi-Stage Pseudo-Label Refinement for Semi-Supervised Hyperspectral–LiDAR Classification
Published on 2026-02-03 by Khanzada Muzammil Hussain, Keyun Zhao, Sachal Perviaz, Ying Li @MDPI
Abstract: Semi-supervised joint classification of Hyperspectral Images (HSIs) and LiDAR-derived Digital Surface Models (DSMs) remains challenging due to scarcity of labeled pixels, strong intra-class variability, and the heterogeneous nature of spectral and elevation features. In this work, we propose a Hybrid Mamba–Graph Fusion Network (HMGF-Net) with Multi-Stage Pseudo-Label Refinement (MS-PLR) for semi-supervised hyperspectral–LiDAR classification. The framework employs a sp[...]
Our summary: This work presents a Hybrid Mamba-Graph Fusion Network (HMGF-Net) for semi-supervised hyperspectral-LiDAR classification. The framework integrates spectral-spatial HSI backbones and LiDAR CNN encoders with a graph fusion module for enhanced information propagation. Validation on benchmark datasets shows significant performance improvements over state-of-the-art methods, particularly in low-label scenarios.
Hybrid Mamba-Graph Fusion, Semi-Supervised Learning, Hyperspectral Classification, LiDAR Integration
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