With the rapid advancement of science and technology, people's yearning for a more convenient life has gradually become concrete, which has given rise to a huge logistics industry chain. At the same time, the ever...
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ISBN:
(纸本)9798350389814;9798350389807
With the rapid advancement of science and technology, people's yearning for a more convenient life has gradually become concrete, which has given rise to a huge logistics industry chain. At the same time, the ever-increasing labor costs have caused an urgent need for autonomous delivery vehicles. This paper presents the design and integration of an autonomous vehicle system for efficient indoor parcel delivery, addressing the challenges of navigating dynamic indoor environments. This vehicle system leverages a multi-sensor approach, integrating LiDAR, radar, Inertial Measurement Unit (IMU), GPS, and odometer data to provide comprehensive environmental perception and precise localization, which will contribute to the field by providing a practical application of autonomous vehicle technology in a constrained environment, offering a solution for the logistics industry's indoor delivery challenges.
Greenhouses can ensure the normal growth of crops in extreme environments. With the popularization of social intelligence, how to build an efficient and accurate environmental monitoring system to ensure that crops ha...
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The proceedings contain 27 papers. The topics discussed include: a pruned wavelet neural network noise optimization method for fiber optic gyroscope;an improved NSGA-II algorithm for multi-sensor scheduling optimizati...
The proceedings contain 27 papers. The topics discussed include: a pruned wavelet neural network noise optimization method for fiber optic gyroscope;an improved NSGA-II algorithm for multi-sensor scheduling optimization;research on automated annotation technology for radar range angle-doppler data based on visual supervision mechanism;multi-UAV deployment in complex mountain marathon: two tier relay and multi-objective genetic optimization;mobile sink path planning for data collection in three dimensional wireless sensor network;design of high voltage envelope tracking power supply based on multilevel architecture;a dynamic STC attenuation strategy based on environmental perception;and an automatic balancing algorithm for interface timing skew.
To enhance the sensing capability of driverless cars in complex dynamic scenarios, a fusion method of radar and depth camera is emphasized and a technical framework for integrating multi-source sensors is proposed. A ...
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Object detection is a core component of perception systems, providing the ego vehicle with information about its surroundings to ensure safe route planning. While cameras and Lidar have significantly advanced percepti...
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ISBN:
(纸本)9798350399462
Object detection is a core component of perception systems, providing the ego vehicle with information about its surroundings to ensure safe route planning. While cameras and Lidar have significantly advanced perception systems, their performance can be limited in adverse weather conditions. In contrast, millimeter-wave technology enables radars to function effectively in such conditions. However, relying solely on radar for building a perception system doesn't fully capture the environment due to the data's sparse nature. To address this, sensor fusion strategies have been introduced. We propose a dual-branch framework to integrate radar and Lidar data for enhanced object detection. The primary branch focuses on extracting radar features, while the auxiliary branch extracts Lidar features. These are then combined using additive attention. Subsequently, the integrated features are processed through a novel Parallel Forked Structure (PFS) to manage scale variations. A region proposal head is then utilized for object detection. We evaluated the effectiveness of our proposed method on the Radiate dataset using COCO metrics. The results show that it surpasses state-of-the-art methods by 1.89% and 2.61% in favorable and adverse weather conditions, respectively. This underscores the value of radar-Lidar fusion in achieving precise object detection and localization, especially in challenging weather conditions.
Studies have shown that there is a 10% fatality rate when a pedestrian is struck by a vehicle moving at the speed of 20 (mph), and the rate scales up to 90% at the speed of 40 (mph). Moreover, the residential areas wi...
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This paper proposes a novel 3D object detection method based on object matching for autonomous driving, which combines point cloud data and image processing. The method utilizes point cloud clustering to determine the...
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Predicting aerial animal migration has great implications for biological research and conservation, and agricultural production. Animal migration is deeply coupled with spatio-temporal and meteorological factors, howe...
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This manuscript introduces a novel framework and algorithm that leverages inertial sensors to capture and optimize data on human joint motion posture, thereby enhancing the accuracy and stability of contemporary motio...
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With the advancement of digital transformation in the power industry, traditional power operation and maintenance management models can no longer meet the needs for real-time monitoring and precise decision-making. Th...
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