Object Recognition and Detection for Autonomous Driving
Our Capabilities
Object detection is one of the most important prerequisites to Autonomous navigation, as this task allows the car controller to account for obstacles when considering possible future trajectories. To overcome this, we applied computer vision and artificial intelligence development services to recognize objects around a car in real-time to make automated driving safe for both pedestriansand drivers.We applied end-to-endlearning for autonomous driving by training a detector that is capable of fitting in restricted memory, predicts in real-time, and has acceptable accuracy for use in an autonomous driving platform. Our model outperformed other traditional object recognition detection models such as OverFeat, VGG16, Fast R-CNN, YOLO, and SimpleNet.
Setting Up a goal – Defining Use Cases and the Business Process flow
Determine exactly what your business requires. An application can have more than one functionality, and each function can have many uses cases. We help you to define use cases before beginning business requirements. Our team of developers and subject experts works along with you to understand the business process flow breaks down such as into input, output and sub-processes along with the order, interactions, and decision flows between them.
A Data Dictionary Development & Capturing Existing data
Data dictionaries are critical to understand, contextualize and translate programming logic into business rules. Once the process flows are documented, our team of experts develops a data dictionary encompassing all data elements in the application and their business and functional description. Subsequently, establish data collection mechanisms.
Visualize data Pipeline
Develop business rules, annotation /categorization with meta-data and Implementing components of a pipeline. through system architecture and conceptual design that meets outlined requirements. Incorporate requirements of the relevant certifications, regulations, and formal market constraints. Defining the methodologies to be used in building software. Follow best practices and industry standards
Develop, Validate & Deploy Data Models
Collect the relevant data and analyse or develop an algorithm to discover useful insights for making business decisions. Continuously assess the performance of your algorithm and make refinements if necessary.
