Forward Advanced Driver Assistance System

Based on the digital camera installed in front windshield, Combining high accurate algorithms to perceive the vehicle forward driving scene and alert while potential collision may happen.

LDW (Lane Departure Warning)

Generate real-time driving paths in high-precision lane segmentation technology according to the detection and recognition of lane markings. The judgment accuracy of our LDW can achieve the centimeter level and the accuracy rate higher than 99.5%.

FCW (Foward Collision Warning)

When the system detects the forward collision about to happen, it will automatically send out a warning signal. It can track many vehicles at the same time and the accuracy rate is higher than 99%.

PCW (Pedestrian Collision Warning)

When the system detects pedestrians ahead about to collide, it will automatically send out a warning signal. It can track a lot of pedestrians at the same time and the accuracy rate is higher than 99%.

Vehicles Distance Too Close Warning

Real-time detection to the speed of the vehicle and the distance between the vehicle and the vehicle in front. Alert when a preset condition is triggered.

HMW (Headway Monitoring Warning)

When the system detects the forward vehicle changing from a stationary state to a drive state. Indicate the driver in time to improve the traffic efficiency.

Traffic Lights and Sign Recognition

Support the recognition and detection of traffic lights and speed-limited signs. Indicate the driver to avoid violating traffic rules and improve safety awareness.

Rapid Deceleration and sharp-turn detection

Real-time monitoring of the driving status of the vehicle, when there is a sudden acceleration, rapid deceleration, or a sharp turn. It will give a warning signal to remind the driver to pay attention to the improvement.

SERVICE ADVANTAGES

Deep-digging in Innovative Technology to Explore Upgraded Services.

Based on deep learning algorithms to creat a professional backbone network with continuouse innovative capabiities in our core technologies.
Realized the closed loop of feedback between data and model, and the continuouse optimize the model training effect by enriching the data.
Through the highly quantified and highly compressed models, the configuration conditions of the hardware platform are reduced while satisfying high performance.
Successfully obtained a number of artificial intelligence related patens and sofrware copyrights.
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