The solution is compatible with different models including Lincoln, Geely, Ford, and Dongfeng.
DeepRoute.ai’s solution can safely maneuver on highways, in heavy rainfalls, at night and in other inclement weather conditions.
In April 2021, it took 3 days to deploy the fleet in the CBD area of a new city, Hangzhou.
Multi-Sensor Fusion Technology
DeepRoute.ai’s sensor fusion technology can detect various objects over 200 meters away accurately and efficiently to guarantee safe driving, even in inclement weather, at night or in other scenarios.
The deep learning algorithm has ranked No.1 on global leading autonomous driving dataset KITTI and Semantic KITTI, and the papers were accepted respectively by CVPR 2020, CVPR 2021 and ICCV 2021, one of the most important conferences worldwide in the field of computer vision.
DeepRoute-Engine
DeepRoute-Engine improves the efficiency of inference and allows the perception algorithms to run efficiently and smoothly on a low-cost, low-consumption computing platform. Its speed is six times faster than existing inference engines in the mainstream deep learning framework.
It is also compatible with various computing platforms, thus reducing dependency on high performance chips caused by short supply.
Human-Like Planning and Control
Based on game theory, DeepRoute.ai planning and control algorithms can think like a human to make real-time decisions in complicated road situations. Traffic dynamics, or the interaction between self-driving cars and other road participants, are perceived to make safe, efficient and smooth driving decisions. The algorithm also plans real-time optimal trajectory for the vehicle, overtaking or avoiding cars in certain situations. It balances driving efficiency and comfort while prioritizing safety.
The main system and backup system operate independently to provide a multiple safety guarantee.
Sensor data from 5 LiDARs and 8 cameras are fused and combined with an HD map, allowing complex road data to be perceived and efficiently inferred. Dynamic objects are detected and avoided automatically.
Shenzhen has set up a cloud monitor system to supervise test and operational vehicles in real time, allowing for intervention when needed.
The safety operator will take over immediately in the event of any failures or emergency situations.
Records driving data for safety improvements and protects user privacy.
Defends against cyber attacks to guarantee safety of the system, data and telecommunications.
