The vague New Year message from the team behind the controversial Pi Network has drawn the ire of investors amid the cryptocurrency’s tumbling value. The Pi Core Team said in a public note that 2025 ...

Autonomous and connected vehicles are moving from concept to reality. And building them demands more than sensors and code. The book, Connected Autonomous Vehicle and Its Environment, delivers an ...

Researchers have developed an autonomous electric vehicle prototype designed to navigate challenging urban roads. The vehicle employs deep learning models to detect potholes, lanes, and objects in ...

Negligence of public transport drivers due to drowsiness poses risks not only to their own lives but also to the lives of passengers. The designed journey tracker system alerts the drivers and ...

Previously, we explored the ADAS (advanced driver assistance system), which used lidar, camera, and ROS for creation of the map. Now we are adding an important safety system for ADAS so that you can ...

This is the second part of the project and here we are going to design Lidar-based Lane Detection System using Raspberry Pi. In the previous part, we designed the LIDAR-based surrounding mapping and ...

Abstract: This paper presents a model for the detection of single road lane using a small camera. The model is working on the principle of camera vision. Camera captures the live video which is then ...

Abstract: Lane detection on the road is the most essential phase of existing advanced driver assistance systems (ADAS). In the current road scheme, the lanes are parallel tracks which are marked based ...

Truck drivers who transport the cargo and heavy materials over long distances during day and nighttime, they often suffer from a lack of sleep, fatigue, and drowsiness are some of the leading causes ...