- CarIT
Car2X communication is about cars exchanging information with each other and with their environment. This allows them to be warned of dangerous areas or predict the behavior of other vehicles. EVOMOTIV developed and idea that is to be realized with the help of an app.
Project Details
Initial situation:
Car2X communication is about cars exchanging information with each other and with their environment. This allows them to be warned of dangerous areas, for example, or to predict the behavior of other vehicles. This allows them to react to potentially dangerous situations at an early stage. This is essential for the safety of autonomous driving.
Project assignment:
Development of a demonstrator that warns the driver of a collision with other vehicles. This is to be achieved with the help of a smartphone app.
Implementation:
Initially, the demonstrator will be limited to warning about other cars at intersections that are on a collision course. GPS data from the vehicles is recorded at short intervals via an app and sent to a server for central evaluation. The data contains the position, direction of travel and speed of the car. This is compared with a road map and the time at which the car will reach the next intersection is calculated. If several cars are expected to reach the same intersection at the same time, the drivers can be warned via the app.
Solution:
The central data analysis is carried out by a Raspberry Pi, which is operated as a server. The streets and intersections of the test environment are extracted from Openstreetmap maps and entered into a MySQL database. An Android app is programmed to record the position, which sends the car's GPS data to the server every 0,5 seconds. The data is stored in the database and evaluated for comparison with other cars. The prototype is currently under development and there are numerous ideas for expansion.
Car2X communication is about cars exchanging information with each other and with their environment. This allows them to be warned of dangerous areas, for example, or to predict the behavior of other vehicles. This allows them to react to potentially dangerous situations at an early stage. This is essential for the safety of autonomous driving.
Project assignment:
Development of a demonstrator that warns the driver of a collision with other vehicles. This is to be achieved with the help of a smartphone app.
Implementation:
Initially, the demonstrator will be limited to warning about other cars at intersections that are on a collision course. GPS data from the vehicles is recorded at short intervals via an app and sent to a server for central evaluation. The data contains the position, direction of travel and speed of the car. This is compared with a road map and the time at which the car will reach the next intersection is calculated. If several cars are expected to reach the same intersection at the same time, the drivers can be warned via the app.
Solution:
The central data analysis is carried out by a Raspberry Pi, which is operated as a server. The streets and intersections of the test environment are extracted from Openstreetmap maps and entered into a MySQL database. An Android app is programmed to record the position, which sends the car's GPS data to the server every 0,5 seconds. The data is stored in the database and evaluated for comparison with other cars. The prototype is currently under development and there are numerous ideas for expansion.
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