intelligent directional transfer vehicles

2. The key technology of a self-driving car. The auto control, architecture, artificial intelligence, computer vision and many other technologies are integrated into the self-driving car, which is a product of the highly developed computer science, pattern recognition and intelligent control technology.

30/12/2019 · Intelligent vehicle detection and counting are becoming increasingly important in the field of highway management. However, due to the different sizes of vehicles, their detection remains a challenge that directly affects the accuracy of vehicle counts. To address this issue, this paper proposes a vision-based vehicle detection and counting system. A new high definition highway vehicle dataset

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Discussion Paper National Strategy for Artificial Intelligence 3 Acknowledgments In writing this Report, Arnab Kumar, Punit Shukla, Aalekh Sharan and Tanay Mahindru of NITI Aayog have made valuable contributions. Inputs were also provided by Dr. Avik Sarkar

16/4/2018 · 2.1. In-Vehicle Sensors In ITS, identifying the type of sensors to develop applications that contribute to address problems such as: (1) traffic congestion and parking difficulties, (2) longer commuting times, (3) higher levels of CO 2 emissions, and (4) increase in the number of road accidents, among others is of critical importance for improving a vehicle’s performance as well enhancing

Intelligent transportation systems (ITS) technologies include state-of-the-art wireless, electronic, and automated technologies. Collectively, these technologies have the potential to integrate vehicles (transit, trucks, and personal vehicles), system users, and infrastructure (roads and transit). Automated and in-vehicle technologies include

Case Number Date Submitted Date of Event Short Description City State/Country Long Description Attachments 118480 2021-10-07 2021-10-04 Triangular shaped object ,red center light with 3 orange lights on each side in V shape Selbyville DE, US 118479 2021

2/12/2019 · In this tutorial, you will learn how to use OpenCV and Deep Learning to detect vehicles in video streams, track them, and apply speed estimation to detect the MPH/KPH of the moving vehicle. This tutorial is inspired by PyImageSearch readers who have emailed me

Cameras detect moving objects around the vehicle when it is in park or slowly maneuvering; the system then alerts the driver both visually and audibly. There are two types of systems: one uses the Around View Monitor and four cameras to the front, back and sides of the car, while the second system uses only a single camera installed in the rear

2/5/2018 · In this paper, we consider direction estimation of pedestrian group for video surveillance and intelligent vehicles applications. A theoretical study of the position of vanishing points in image plane associated with all directions in the scene leads to the definition of the notion of directional areas. Image plane is divided along the x-axis into a set of bounded areas; each one is associated

1/2/2020 · Vehicle Platooning: Peloton is using swarm intelligence, the collective intelligent behavior of decentralized systems, to build collaboration among vehicles. Platooning involves a group of self-driving trucks that move at high speed safely and efficiently because each truck communicates with other trucks and adapts its speed and braking accordingly.

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Direction estimation of moving pedestrian groups for intelligent vehicles 1115 Fig. 9 Extracted silhouettes for MGP01 [ 18 ] (top), Campus dataset [ 20 , 21 ] (bottom).