Real-time vehicular accident prevention system using deep learning architecture
Approximately 20 million people die every year of road accidents, mainly caused due to
ignorance of road safety norms and traffic rules. Drivers' experience and prudence still have …
ignorance of road safety norms and traffic rules. Drivers' experience and prudence still have …
Motion and Navigation Control System of a Mobile Robot as A Prototype of An Autonomous Vehicle
Autonomous vehicle is a vehicle that can automatically navigate both long-range and short-
range navigation. In this paper, we designed a motion and navigation control system of an …
range navigation. In this paper, we designed a motion and navigation control system of an …
Driver assistance system for trams: Smart tram in smart cities
C Di Palma, V Galdi, V Calderaro… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Mobility in smart cities is also becoming smart, promoting on the one hand transport modes
based on zero emission electrical technologies and on the other providing vehicles with …
based on zero emission electrical technologies and on the other providing vehicles with …
Implementation of Driverless Car
A Fatima, AK Gowda, CU Chandana… - … on Advances in …, 2023 - ieeexplore.ieee.org
In recent times, there has been a drastic increase in the number of road accidents and their
severity. These accidents mostly happen due to human error. Some common human errors …
severity. These accidents mostly happen due to human error. Some common human errors …
Study and application of geometric concepts in the movement of a vehicle using cartesian coordinates: Estudo e aplicação de conceitos geométricos na …
A Ost, HCC Neri, AAS Padilha, PWS Rego… - Concilium, 2023 - clium.org
Autonomous vehicles are already a reality in many contexts. Most of them need sensors to
move around their environment, which increases the complexity and cost of the project. This …
move around their environment, which increases the complexity and cost of the project. This …
[PDF][PDF] A Comparison of Deep Learning and Conventional Algorithms in Narrow Space Navigation
M Liu - 2020 - etd.ohiolink.edu
This research explores the implementation of mobile-robot navigation using a neural
network. A wall-following (bug) algorithm is implemented both conventionally and through …
network. A wall-following (bug) algorithm is implemented both conventionally and through …