Camera-LIDAR Object Detection and Distance Estimation with Application in Collision Avoidance System

Šakić, Nikola; Krunić, Momčilo; Stevic, Stevan; Dragojević, Marko

doi:10.1109/icce-berlin50680.2020.9352201

Cited by 10 publications

(3 citation statements)

References 3 publications

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“…It represents a critical requirement for autonomous systems, as it involves the identification and detection of both static and moving objects surrounding the vehicle. By accurately detecting the speed, direction, and position of these objects, the safety of the vehicle and its passengers can be effectively preserved [14][15][16].…”

Section: Collision Detection and Avoidancementioning

confidence: 99%

A Survey on Data Compression Techniques for Automotive LiDAR Point Clouds

Roriz,

Silva,

Dias

et al. 2024

Sensors

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In the evolving landscape of autonomous driving technology, Light Detection and Ranging (LiDAR) sensors have emerged as a pivotal instrument for enhancing environmental perception. They can offer precise, high-resolution, real-time 3D representations around a vehicle, and the ability for long-range measurements under low-light conditions. However, these advantages come at the cost of the large volume of data generated by the sensor, leading to several challenges in transmission, processing, and storage operations, which can be currently mitigated by employing data compression techniques to the point cloud. This article presents a survey of existing methods used to compress point cloud data for automotive LiDAR sensors. It presents a comprehensive taxonomy that categorizes these approaches into four main groups, comparing and discussing them across several important metrics.

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Section: Collision Detection and Avoidancementioning

confidence: 99%

A Survey on Data Compression Techniques for Automotive LiDAR Point Clouds

Roriz,

Silva,

Dias

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Casalino 等 [111] 提出了一种新的实时射线跟踪 (RT2) 算法, 用于估计团队中任意一对 AUV 之间的距离, 该技术基于非线性声线传播定律的修正公式, 允许有效处理失真和反射的声线路径. Sakic 等 [112] 提出了一种用于检测航行器前方的物体并估计其距离的解决方案. 基于相机和激光雷达 (光探测和测距) 传感器融合的使用, 使用基于机器人操作系统 (robot operating system, ROS) 的 Autoware 开源平台作为原型进行开发, 在不同环境下取得了令人满意的效果.…”

Section: 涉水影像质量评价unclassified

涉水光学

Li¹

2024

Sci. Sin.-Inf.

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1) 含海洋光学, 水下光学.2) Vicinage earth, Vicinagearth. Vicinage 源于古法语/拉丁语的 visnage/vicinus('neighbor').IOP) 和表观光学特性 (apparent optical properties, AOP). 固有光学特性水体固有光学特性是自然水体本身的光学参数, 独立于环境光场. 常用的水体固有光学参量包括光谱吸收系数 (spectral absorption coefficient), 光谱散射系数 (spectral scattering coefficient), 光谱衰减系数 (spectral attenuation coefficient), 体散射函数 (volume scattering function), 后向散射系数 (backscatter coefficient), 前向散射系数 (forescatter coefficient), 光束衰减系数 (beam attenuation coefficient) 等.

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“…At the same time, our system is also taking pictures form the scene, and afterwards sends these pictures for preprocessing. The system pre-processes these pictures with the help of Viola Jones algorithm and TensorFlow Object Detection algorithm [9].…”

Section: Considerations For System Designmentioning

confidence: 99%

Smart Assistive System for Visually Impaired People Obstruction Avoidance Through Object Detection and Classification

et al. 2022

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Recent progress in innovation is making the life prosper, simpler and easier for common individual. The World Health Organization (WHO) statistics indicate that a large amount of people experience visual losses, because of which they encounter many difficulties in everyday jobs. Hence, our goal is to structure a modest, secure, wearable, and versatile framework for visually impaired to help them in their daily routines. The proposed methodology utilizes Raspberry-Pi 4B, Camera, Ultrasonic Sensor and Arduino, mounted on the stick of the individual. We take pictures of the scene and afterwards pre-process these pictures with the help of Viola Jones and TensorFlow Object Detection algorithm. The said techniques are used to detect objects. We also used an ultrasonic sensor mounted on a servomotor to measure the distance between the blind person and obstacles. The presented research utilizes simple calculations for its execution, and detects the obstructions with a notably high efficiency. When contrasted with different frameworks, this framework is a minimal effort, convenient, and simple to wear.

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Camera-LIDAR Object Detection and Distance Estimation with Application in Collision Avoidance System

Cited by 10 publications

References 3 publications

A Survey on Data Compression Techniques for Automotive LiDAR Point Clouds

A Survey on Data Compression Techniques for Automotive LiDAR Point Clouds

涉水光学

Smart Assistive System for Visually Impaired People Obstruction Avoidance Through Object Detection and Classification

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