System and method for collision avoidance
One general aspect of the present disclosure includes a method for warning of collision avoidance. The method may include receiving, with at least one server, position and movement information from a remote client, forming a motion model of the client including a predicted position of the client at a future time, and determining whether an object will be in a proximity of the position of the client at the time. If the object will be in the proximity of the position of the client at the time, the method may include determining a probability of a collision between the client and the object at the time. If the probability meets a threshold, the method may include transmitting a collision avoidance signal to at least one of the client and the object.
1. A method comprising the steps of:
receiving, with at least one server, position and movement information from a remote first client;
determining a first valid area for the first client and then forming a motion model of the first client within the first valid area, the motion model including a predicted position of the first client at a future time;
receiving, with the at least one server, position and movement information from a remote second client;
determining a second valid area for the first client and then forming a second motion model of the second client within the second valid area, the second valid area extending beyond a roadway, and the second motion model including a predicted position of the second client at the time; and
determining whether the second client will be in a proximity of the position of the first client at the time.
2. The method of claim 1 , further comprising:
determining a probability of a collision between the first client and the second client at the time if it is determined that the object will be in the proximity of the position of the first client at the time; and
if the probability meets a threshold, transmitting a collision avoidance signal to at least one of the first client and the second client.
3. The method of claim 1 , further comprising synchronizing the received information from the first client with the received information of the second client.
4. The method of claim 1 , further comprising detecting, with a sensor, the position and movement information of the first client, wherein the sensor is coupled to the first client.
5. The method of claim 4 , further comprising detecting, with a second sensor, the position and movement information of the second client, wherein the second sensor is coupled to the second client, and wherein the second sensor is included in at least one of a smart phone and a wearable device.
6. The method of claim 1 , wherein forming the motion model of the first client includes forming a probability map including multiple trajectories, wherein each trajectory of the multiple trajectories is weighted by probability.
7. The method of claim 1 , wherein the at least one server includes a first server that communicates with a second server via a cloud-computing network.
8. The method of claim 7 , wherein the position and movement information of the first client is received by the first server and wherein the position and movement information of the second client is received by the second server.