Tipo de Artigo: Artigos de Conferência

Management and Business of Autonomous Vehicles: A Systematic Integrative Bibliographic Review

This paper aims at characterizing the Autonomous Vehicles (AVs) research field in the areas of management and business in its bibliometric context; identifying strategies, practices and management tools specified in the scope of the investigated publications; summarizing existing evidence, pointing to gaps within this study area. Methodologically, the research is characterized as qualitative and descriptive, …

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A 2D/3D environment perception approach applied to sensor-based navigation of automated driving systems

The perception of the environment is one the most important tasks related to automated driving systems navigation. Typically, the robot detects the road surface and obstacles to perform the local navigation control safely. However, working with image data brings several problems related to environment elements like shadows, light reflection, low-variance textures, etc., which could compromise …

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Autonoumous Vehicles, are they “riding” in Blue Ocean?

This paper aims at identifying the adherences of the propositions of Autonomous Vehicles (AVs) over Traditional Vehicles (TradVs) by using the theoretical models of the blue ocean’s strategy four-action framework and value curve (Kim & Mauborgne, 2005) and disruptive innovation (Christensen, 1997). Specifically, it aims at drawing new value curves for AVs over TradVs when …

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The new generation of standard data recording device for intelligent vehicles

There is a converging interest of society, academia, and industry about intelligent vehicles. Meanwhile, it is necessary to consider some legal aspects that could help these vehicles to arrive safely on public roads. The difficulty lies in the fact that a complex cybernetic system will replace a human-driver in a complete or partial manner, depending …

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Real-Time Collision Risk Estimation Based on Pearson’s Correlation Coefficient: Comparative Analysis with Real Distance from the Velodyne 3D Laser Scanner

In previous works, we have proposed a new method for Collision Risk Estimation (CRE) based on Pearson’s Correlation Coefficient (PCC) as a simple solution to improve the performance of a real-time navigation system. In this paper, we tested the CRE under different situations of an object in front of the vehicle and compared it with …

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The use of smartphones as a smart sensor for intelligent vehicles

Advanced Driver Assistance Systems (ADAS) are electronic systems, present on modern vehicles, which enhance the road safety by providing assistance on the driving act. These systems are usually associated with semi-autonomous and expensive vehicles. Oppositely, yet affordable, modern smartphones, endowed with an operating system, are capable of providing a high computational power allied to multiple …

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The new generation of standard data recording device for intelligent vehicles

There is a converging interest of society, academia, and industry about intelligent vehicles. Meanwhile, it is necessary to consider some legal aspects that could help these vehicles to arrive safely on public roads. The difficulty lies in the fact that a complex cybernetic system will replace a human-driver in a complete or partial manner, depending …

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Pearson’s Correlation Coefficient for Discarding Redundant Information: Velodyne Lidar Data Analysis

Energy limitation is one of the most important challenges. Many applications are being developed and one important aspect is the excess of information, frequently redundant, that imposes a great computational cost in data processing and consequently power consummation. Management of all power resources is therefore important for intelligent vehicles and mobile robots. In previous works, …

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Short-term visual mapping and robot localization based on learning classifier systems and self-organizing maps

Ground wheeled autonomous robots like driverless cars are examples of applications which would assist humans on different tasks. From an explicit or emerging need, these systems have come to replace or assist drivers. Estimating the position is a primary function for intelligent vehicle navigation. Different existing solutions use high-end sensors. This paper proposes to augment …

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