Caceres, Caleb Joshua B.  <br/><br/>
Automated system in mitigating vehicular accidents on blind curves using IR (Lidar) sensors/  
Caleb Joshua B. Caceres, Lester Jhon I. Delos Reyes, Andrea B. Escarieses, and Darius Claret M. Layug .-- 
 - Manila:  Technological University of the Philippines,   2023. 
 - xvi, 159pages:   29cm.   +1 CD ROM (4 3/4in.) 
<br/><br/> Thesis (undergraduate) 
<br/><br/>College of Engineering.-- 
<br/><br/>Includes bibliography.  
<br/><br/> Blind curves are notorious for bringing danger to motorists. However, some<br/>blind curves lack the necessary precautions to inform motorists. Even if some<br/>safety precautions are taken, they can be easily neglected due to the surroundings<br/>of the curve's vicinity. The researchers developed an automated system that<br/>detects the speed of the incoming vehicle and gives the necessary warning signs<br/>to help mitigate the accident. The system consists of four posts scattered in the<br/>vicinity. The posts consist of two (2) initial and two (2) main posts with different<br/>equipment and functions. Each post has a Lidar infrared sensor that detects the<br/>vehicle's speed. The information is then processed by the microcontroller, which<br/>decides what necessary precautions would be displayed by the LED board<br/>attached to the two main posts. The system is tested first in a controlled setting<br/>wherein the researchers simulate road scenarios, and the actual test is done with<br/>vehicles traversing the project deployment area. The study aims to give warning<br/>signs and help mitigate blind curve-related accidents.<br/><br/>Keywords – Blind Curves, Motorist, Lidar, LED Board, Automated System, Mitigate<br/>Blind Curve-related accidents. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Vehicular accidents <br/>Microcontroller <br/>Road scenario simulators
<br/><br/><label>LC Class. No.: </label>BTH TK 146   / C33 2023