Images

40 images

Explore Dataset

Here are a few use cases for this project:

Use Case 1: Autonomous Vehicle Navigation Description: ATR_50_2 can be used in autonomous vehicle navigation systems to identify different types of vehicles (vehicle_1, vehicle_2, vehicle_3) on the road, helping the autonomous vehicle make informed decisions about lane changes, speed adjustments and maintaining a safe distance from surrounding vehicles.

Use Case 2: Intelligent Traffic Monitoring Description: ATR_50_2 can be employed in traffic monitoring systems to differentiate between various vehicle types (vehicle_1, vehicle_2, vehicle_3) in a traffic stream, allowing for better traffic management, pattern analysis and congestion prediction.

Use Case 3: Parking Management Description: ATR_50_2 can be integrated into smart parking systems designed to automatically identify and track vehicles (vehicle_1, vehicle_2, vehicle_3) in parking lots, enabling efficient parking space allocation, real-time space availability updates, and better parking facility management.

Use Case 4: Vehicle Counting and Classification for Road Surveys and Studies Description: Traffic engineers and transportation planners can use ATR_50_2 to accurately identify different types of vehicles (vehicle_1, vehicle_2, vehicle_3) in order to collect data for road surveys and transportation studies, leading to more effective road upgrades, infrastructure improvements, and traffic management strategies.

Use Case 5: Augmented Reality for Driver Assistance Systems Description: ATR_50_2 can be utilized in augmented reality applications for driver assistance systems, providing drivers with valuable information about surrounding vehicles (vehicle_1, vehicle_2, vehicle_3) in real-time, enhancing situational awareness and assisting with decision-making while driving.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            atr_50_2_dataset,
                            title = { ATR_50_2 Dataset },
                            type = { Open Source Dataset },
                            author = { Chalmers University of Technology },
                            howpublished = { \url{ https://universe.roboflow.com/chalmers-university-of-technology/atr_50_2 } },
                            url = { https://universe.roboflow.com/chalmers-university-of-technology/atr_50_2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-05-16 },
                            }