Autonomous vehicles are often equipped with multiple high-performance computing platforms to achieve required self-driving capabilities, but high power consumption with high cost will be faced. This technology establishes cloud-based decisions and its integration technology to solve the needs of the computing platforms. The decision-making technology based on the cloud enables autonomous vehicles to receive correct neighboring cars/roadside information in advance for increasing safety. The scenarios that our technology can handle include car following, avoiding illegal parking, cut-in/out, intersection, etc.

1.Speed range of host vehicle: ≤ 50kph
2.Localization error range for operation: ≤ 30cm
3.Detected range for operation: front>60m, left and right>20m
4.Latency of communication: ≤ 150 ms
5.Speed range of obstacles: ≤ 100 kph
6.Control error: ≤ 30cm
7.Scenarios that can be handled: car following, cut in and out, intersection with/without V2V, illegal parking, Car-hailing service for docking

Intelligent Vehicle Safety System

Through the technology, the driver can figure out in advance whether there exists risk in front of the host car and at intersections, which has obvious benefits for driving safety. Besides, our technology helps the domestic automotive industry level up to high-market-value active safety field, and the market benefit will be increased.