Autonomous Vehicles

Insurance Premium - WhatNext

Insurance Premium Prediction for Smartly Insured Vehicles

Enhancing Accuracy and Safety with Telematics-Based Insurance Premium Prediction Insurance premium prediction is an important aspect of the insurance industry, as it helps insurance companies determine the cost of coverage for a particular policy. This process involves analyzing various factors that can impact the likelihood of a claim being filed, including the vehicle’s age and …

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Lidars Vs Radar for autonomous vehicles - Whatnext

Lidars Vs Radar for autonomous vehicles: Analyzing the pros and cons

Lidars Vs. Radar for autonomous vehicles: Analyzing the pros and cons Autonomous cars are becoming increasingly intelligent, independent, and safer. They can communicate with other cars and infrastructure, making decisions based on real-time data. These cars come equipped with sensors and cameras that allow them to detect and avoid obstacles and park themselves. LiDAR and …

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Autonomous Traffic Scheduling - WhatNext

How AI can transform Autonomous Traffic Scheduling

How AI Can Transform Autonomous Traffic Scheduling In the wake of urbanization, the world is observing a continuous increase in the growth of population. The growing need for transportation increases vehicle traffic, including cargo businesses. Despite its importance, transportation faces acute challenges to address constant congestion and poor traffic control management with the legacy infrastructures. …

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LiDAR Technology-WhatNext-energy futuremakers

LiDAR Technology Innovations for Robotaxis

To achieve any level of autonomous driving, vehicles abundantly rely on cameras, sensors and radars to automate functions such as emergency braking, cruise control and blind spot monitoring. However, there are limitations associated with depth and range perception while utilising these types of sensors. To alleviate these issues, Light Detection and Ranging, known as LiDAR, …

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Driver Monitoring using AI -WhatNext

Driver Monitoring using Artificial Intelligence

In the day and age of fast cars and increased traffic congestions, driver monitoring is emerging to be essential that needs to be incorporated into driving assistance systems. Besides, driver fatigue and concentration levels tend to fluctuate after long periods of driving. Therefore, the need for integrating a top-notch mechanism that can monitor all aspects …

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