5 ADAS Data Annotation Benefits for Your Automotive Business

The automobile sector is undergoing significant changes. A slew of industry trends concerning safety, client preferences and technological advancements, are reshaping how transportation and mobility companies build products. The Growing demand for ADAS (Advanced Driver Assistance Systems) and Autonomous Driving (AD) systems, motivated by developing safety requirements and increased customer interest, is one of the most obvious developments.

Perception is the basis for a vehicle to drive itself without a driver. Data annotation plays a crucial role in automating and fast-tracking the process. The vehicle with high automation should be trained enough to track, classify, differentiate the objects in the vicinity to decide its course of action. This could be achieved by rigorous testing and validation under enormous datasets, including multiple scenarios.

What is ADAS Technology?

Advanced Driver Assistance Systems (ADAS) are high-tech safety measures that help drivers prevent on-road occurrences by alerting them to the potential risks. This lets the driver quickly regain control of their vehicle, enhancing their capacity to react to road threats.

Nowadays, most vehicles come with standard safety measures pre-installed. For instance, Lane Departure Warning Systems and Blind Spot Warning Systems employ microcontrollers, sensors, and cameras to relay signals of reflected objects ahead, to the side, and to the rear of the vehicle.

Data Annotation for ADAS Systems

The installation of cameras in the vehicle demands the development of the new AI function that uses sensor fusion to identify and process objects. The Sensor fusion combines massive volumes of data with the help of image recognition software, ultrasonic sensors, “lidar”, and radar, similar to how the human brain processes a piece of information. ADAS object detection can react physically faster than a human driver. It can also assess a streaming video in real-time, identify what it’s showing, and decide how to respond.

Data annotation allows machine learning models for automated vehicles to locate themselves within the significant context of the road system. Let’s have a look at the five critical functionalities enabled by ADAS data annotation that will accelerate, scale, and drive you towards your automotive success.

1Lane detection

Lane detection systems alert the driver if the vehicle starts deviating from its lane. This is a fundamental capability for all automated vehicles as it keeps them centered in the correct part of the lane. Moreover, it gives computer vision models information on where to move next while navigating across multi-lane highways. This ADAS feature relies on polyline annotation to accurately outline the road markings relevant to AI models.

2 Avoiding Collision

Forward Collision warning systems are in-vehicle systems that alert the drivers in case of a collision with any other vehicle or object in the roadway. Therefore, Annotation for obstacles, vehicles, pedestrians, etc., is critical for vehicle safety. It helps autonomous vehicles prevent collisions by keeping them safe in designated lanes. Deviating from appropriately marked areas of the road runs the risk of accidents with median strips or vehicles in stopping routes.

3Traffic Sign Recognition

Missing out on any traffic sign can cause a severe road accident. The Traffic sign recognition systems are equipped with forward-facing cameras to detect the on-road signs. Real-time feeds from the front camera with image annotation, computer vision, and image recognition algorithms help this system identify the traffic signs and present them on the infotainment system to be addressed by the driver. The real-time traffic sign recognition systems help drivers follow the traffic signals and help them follow the traffic rules.

4Parking Assistance Systems

Parking assistance systems are one of the most commonly used ADAS Driving system. Parking assistance systems use ultrasonic sensors fixed on the front and rear bumpers of the vehicle to detect the obstacles while parking and trigger alarm. Data of this sensor is annotated to train them for assistance. The rear camera is also employed with the system to provide visual assistance while parking the vehicle. The system quite effectively senses the distance between the vehicle and the obstacle

5Vehicle safety

Vehicle safety is one of the critical areas in which automakers are making significant investments. Automotive manufacturers have created several technologies that can assist in the prevention of traffic accidents over the years. Advanced Driver Assistance Systems are robust technologies that automate, facilitate, and enhance vehicular systems to help drivers have a safe and better driving experience.

Choosing the Right ADAS Data Annotation Partner

As companies are stepping towards the production stage of AVs, the data annotation requirement is scaling up exponentially. It becomes challenging for the companies to meet this mounting demand of training datasets internally, and hence the companies are moving towards outsourcing ADAS Data annotation.

Since it is essential for the overall success of your Automation systems, you should carefully choose your ADAS company.

Cogito Tech LLC offers ADAS data annotation services for autonomous driving applications. Having a diverse pool of qualified professionals, access to the most advanced tools, cutting-edge technologies, and proven operational techniques, we constantly endeavor to enhance the quality of our client’s AI algorithm predictions.