Sensing Structure for Blind Spot Detection System in Vehicles
| Autor: | Hossein Gharaee Garakani, Mohammad Khoshnevisan, Behzad Moshiri, Shayan Shirahmad Gale Bagi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Structure (mathematical logic)
050210 logistics & transportation Computer science business.industry 05 social sciences Real-time computing 020206 networking & telecommunications 02 engineering and technology Sensor fusion Automation Object detection Whole systems Lidar 0502 economics and business Blind spot detection Sensor selection Data_FILES 0202 electrical engineering electronic engineering information engineering business |
| Zdroj: | ICCAIS |
| DOI: | 10.1109/iccais46528.2019.9074580 |
| Popis: | Sensor selection is an essential aspect of blind spot detection (BSD) systems. Indeed, we must choose the sensors appropriately to accomplish high accuracy and performance in any driving condition. Each sensor has exclusive properties which are suitable for a few specific circumstances. Therefore, a comprehensive study is warranted to determine the optimum number of sensors and the type of sensors for BSD. Although sensors have some deficiencies which can deteriorate the whole system's performance, a combination of multiple types of sensors together with data fusion methods in most cases can substantially compensate for sensors imperfection. In this paper, we have concentrated on multi-sensor fusion in BSD system and its advantages which cannot be achieved in a single-sensor BSD system. A sensing structure for the BSD system is proposed considering the indispensable factors in BSD coupled with sensors constraints, features, and specifications. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|