VEHICLE TO VEHICLE (V2V) COMMUNICATION LESS TRUCK PLATOONING
A method for at least partial autonomous driving based on one or more other vehicles, the method may include (i) detecting a trusted vehicle within an environment of a first vehicle, the first vehicle is destined to follow a first path and reach a first target location, the trusted vehicle is destined to follow a second path; (ii) determining, based on at least a spatial relationship between the first path and the second path, at least one out of: (a) whether to perform an at least partial autonomous driving session that involves at least partially automatically following the trusted vehicle, and (b) whether to suggest to a human driver of the first vehicle to authorize the first vehicle to perform the at least partial autonomous driving session; and responding to the determination.
1 . A method for at least partial autonomous driving based on one or more other vehicles, the method comprises:
detecting a trusted vehicle within an environment of a first vehicle, the first vehicle is destined to follow a first path and reach a first target location, the trusted vehicle is destined to follow a second path;
determining, based on at least a spatial relationship between the first path and the second path, at least one out of:
(a) whether to perform an at least partial autonomous driving session that involves at least partially automatically following the trusted vehicle, and
(b) whether to suggest to a human driver of the first vehicle to authorize the first vehicle to perform the at least partial autonomous driving session; and
responding to the determination;
wherein the responding comprises at least one out of:
(a) performing the at least partial autonomous driving session when determining to perform the at least partial autonomous driving session; and
(b) suggesting the human driver to authorize the first vehicle to perform the at least partial autonomous driving session, when determining to suggest the human driver to authorize the first vehicle to perform the at least partial autonomous driving session.
2 . The method according to claim 1 comprising monitoring an environment of the first vehicle during the performing of the at least partial autonomous driving session to provide monitoring results; and determining by the first vehicle whether to terminate the at least partial autonomous driving session, based on the monitoring results.
3 . The method according to claim 1 comprising displaying to the human driver at least one out of (a) information regarding the trusted vehicle, and (b) the first path and the second path.
4 . The method according to claim 1 wherein the determining is based, at least in part, on a spatial relationship between the first path and the second path.
5 . The method according to claim 1 comprising generating feedback regarding a driving of the trusted vehicle during the at least partial autonomous driving session and sending the feedback to a remote system for recalculation of a trust attribute associated with the trusted driver.
6 . The method according to claim 1 wherein the determining comprises obtaining a driving profile of the human driver, obtaining a driving profile of the trusted vehicle, calculating a similarity between the driving profile of the human driver and the driving profile of the trusted vehicle, and wherein the determining is based, at least in part, on the similarity.
7 . The method according to claim 1 wherein the performing of the at least partial autonomous driving session comprises utilizing vehicle to vehicle communication between the first vehicle and the trusted vehicle.
8 . The method according to claim 1 wherein the performing of the at least partial autonomous driving session comprises is executed without utilizing vehicle to vehicle communication between the first vehicle and the trusted vehicle.
9 . The method according to claim 1 wherein the determining is based, at least in part, on a number of vehicles that are already engaged in at least partially automatically following the trusted vehicle.
10 . The method according to claim 1 wherein the first vehicle is associated with a first trust level and the trusted vehicle is associated with a second trust level, wherein the determining is based at least in part on the first trust level and on the second trust level.
11 . The method according to claim 1 wherein the first vehicle is associated with a first trust level and the trusted vehicle is associated with a second trust level, wherein the determining is based at least in part on the first trust level and on the second trust level.
12 . The method according to claim 1 comprising detecting at least one additional trusted vehicle within the environment of the vehicle, wherein the at least one additional trusted vehicle is destined to follow at least one path.
13 . The method according to claim 1 comprising detecting at least one additional trusted vehicle within the environment of the vehicle, wherein the at least one additional trusted vehicle is destined to follow at least one path.
14 . The method according to claim 13 wherein the determining comprises selecting a trusted vehicle of the first trusted vehicle and the at least one additional trusted vehicle.
15 . The method according to claim 13 wherein the determining comprises selecting, for each first path segment out of multiple first path segments, a trusted vehicle of the first trusted vehicle and the at least one additional trusted vehicle.
16 . The method according to claim 13 wherein the determining comprises selecting a trusted vehicle of the first trusted vehicle and the at least one additional trusted vehicle.
17 . The method according to claim 13 wherein the determining comprises selecting, for each first path segment out of multiple first path segments, a trusted vehicle of the first trusted vehicle and the at least one additional trusted vehicle.
18 . A non-transitory computer readable medium for at least partial autonomous driving based on one or more other vehicles, the non-transitory computer readable medium stores instructions for:
detecting a trusted vehicle within an environment of a first vehicle, the first vehicle is destined to follow a first path and reach a first target location, the trusted vehicle is destined to follow a second path;
determining, based on at least a spatial relationship between the first path and the second path, at least one out of:
(a) whether to perform an at least partial autonomous driving session that involves at least partially automatically following the trusted vehicle, and
(b) whether to suggest to a human driver of the first vehicle to authorize the first vehicle to perform the at least partial autonomous driving session; and
responding to the determination;
wherein the responding comprises at least one out of:
(i) performing the at least partial autonomous driving session when determining to perform the at least partial autonomous driving session; and
(ii) suggesting the human driver to authorize the first vehicle to perform the at least partial autonomous driving session, when determining to suggest the human driver to authorize the first vehicle to perform the at least partial autonomous driving session.
19 . The non-transitory computer readable medium according to claim 18 that stores instructions for monitoring an environment of the first vehicle during the performing of the at least partial autonomous driving session to provide monitoring results; and determining by the first vehicle whether to terminate the at least partial autonomous driving session, based on the monitoring results.
20 . The non-transitory computer readable medium according to claim 18 that stores instructions for displaying to the human driver at least one out of (a) information regarding the trusted vehicle, and (b) the first path and the second path.