Content for  TR 22.837  Word version:  19.3.0

It is forecasted that there will be approximately 8 million autonomous or semi-autonomous vehicles on the road by 2025 [49]. NR wireless sensing will assist with automotive manoeuvring and navigation, especially in scenarios where single car-mounted sensors collecting information is not enough for making safe and reliable decisions, e.g. to avoid a collision, pedestrians, etc. This scenario reuses the use case as defined in clause 5.8, where NR wireless sensing is utilized to assist automotive manoeuvring, i.e. sensing results play an important role in making the manoeuvring decisions. However, the sensing environment when RAN entities and UEs execute the sensing measurement process may be subject to high interference (e.g. interference caused by adjacent RAN entities, radars, fake base stations) and cause the sensing information as collected to be wrong. The sensing information provided to the Automated Driving System (ADS) server needs to be fully trustworthy: reliability, integrity, high confidence level and protection against tampering are key aspects. Users (and third parties) should not be able to fraud the ADS Server by tampering with the sensing information in order to influence the manoeuvring decision.

Refer to clause 5.8, where Bob's vehicle is detected to be blocked by other vehicle and cannot do the decision for autonomous driving with sensors collected data (e.g. from lidar, radar, camera, etc). Bob recognizes the needs of 5G system assistance and requests 5G System for coordination of the sensing service.

1. Bob drives in downtown, and is approaching a crossroad with regulatory signs, where the sensors on Bob's vehicle are blocked by other vehicles. Bob's vehicle cannot see the surroundings and Bob sends the sensing request to 5G system.
2. The 5G system gives instructions about how to proceed the sensing to Bob's vehicle and Bob's vehicle selects Joe's vehicle to assist the sensing service. Joe's vehicle transfers the sensing contextual information to Bob's ADS server.
3. Bob's ADS server utilizes the sensing contextual information to do the decision, Bob decelerates before the traffic light.
4. Bob continues the journey and drives in a tunnel (10km length), the sensors on Bob's vehicle are detected to be blocked by a big truck. Bob sends the sensing request to 5G system.
5. The 5G system selects RAN entities (e.g. road side units) to assist the sensing service. The 5G system transfer the sensing information collected by RAN entities to Bob's ADS server.
6. Bob's ADS server utilizes the sensing information to do the decision, and Bob accelerates to overtake the big truck.
7. Bob continues the journey and drives in a desert area and some sensors on Bob's vehicle are detected to be broken (e.g. because of heat). Bob's vehicle sends the sensing request to 5G system.
8. The 5G system selects RAN entities (sparsely deployed in desert area) to assist the sensing service. With the feedback from RAN entities, the 5G system transfer the sensing information together with the indication of confidence level as 60% to the ADS server.
9. Bob's ADS server utilizes the indication and sensing information, and decides to return to Level 0 driving for safety.

Bob's vehicle is able to drive with high reliability by utilizing accurate 5G sensing service.

None.

[PR 5.26.6-1]