Systems and methods for navigating a vehicle
An autonomous system may selectively displace human driver control of a host vehicle. The system may receive an image representative of an environment of the host vehicle and detect an obstacle in the environment of the host vehicle based on analysis of the image. The system may monitor a driver input to a throttle, brake, and/or steering control associated with the host vehicle. The system may determine whether the driver input would result in the host vehicle navigating within a proximity buffer relative to the obstacle. If the driver input would not result in the host vehicle navigating within the proximity buffer, the system may allow the driver input to cause a corresponding change in one or more host vehicle motion control systems. If the driver input would result in the host vehicle navigating within the proximity buffer, the system may prevent the driver input from causing the corresponding change.
1 . A system for selectively displacing human driver control of a host vehicle, the system comprising:
at least one processor comprising circuitry and a memory, wherein the memory incudes instructions that when executed by the circuitry cause the at least one processor to:
receive, from an image capture device, at least one image representative of an environment of the host vehicle;
detect at least one obstacle in the environment of the host vehicle based on an analysis of the at least one image;
monitor a driver input to at least one of a throttle control, a brake control, or a steering control associated with the host vehicle;
determine whether the driver input would result in the host vehicle navigating within a proximity buffer relative to the at least one obstacle;
allow the driver input to cause a corresponding change in one or more host vehicle motion control systems, if the at least one processing device determines that the driver input would not result in the host vehicle navigating within the proximity buffer relative to the at least one obstacle; and
prevent the driver input from causing the corresponding change in the one or more host vehicle motion control systems, if the at least one processing device determines that the driver input would result in the host vehicle navigating within the proximity buffer relative to the at least one obstacle,
wherein the at least one obstacle includes a target vehicle, and the proximity buffer relative to the target vehicle is determined based on a sum of at least:
a host vehicle acceleration distance, determined as a distance over which the host vehicle will travel if accelerated at an assumed acceleration rate of the host vehicle over a reaction time associated with the host vehicle,
a host vehicle stopping distance, determined as a distance required to reduce a determined speed of the host vehicle to zero at an assumed braking rate of the host vehicle, the determined speed corresponding to a speed of the host vehicle if the host vehicle accelerated at the assumed acceleration rate of the host vehicle over the reaction time associated with the host vehicle, and
a target vehicle stopping distance, determined as a distance required to reduce a current speed of the target vehicle to zero at an assumed braking rate of the target vehicle.
2 . The system of claim 1 , wherein the assumed acceleration rate of the host vehicle is a maximum acceleration capability of the host vehicle.
3 . The system of claim 1 , wherein the assumed acceleration rate of the host vehicle is a predetermined sub-maximal acceleration rate that is less than a maximum acceleration capability of the host vehicle.
4 . The system of claim 1 , wherein the assumed braking rate of the host vehicle is a maximum braking capability of the host vehicle.
5 . The system of claim 1 , wherein the assumed braking rate of the host vehicle is a predetermined sub-maximal braking rate that is less than a maximum braking capability of the host vehicle.
6 . The system of claim 1 , wherein the assumed braking rate of the target vehicle is determined based on analysis of the at least one image.
7 . The system of claim 6 , wherein the assumed braking rate of the target vehicle is determined based on a size of the target vehicle determined based on the analysis of the at least one image.
8 . The system of claim 6 , wherein the assumed braking rate of the target vehicle is determined based on a sensed condition of a road surface determined based on the analysis of the at least one image.
9 . The system of claim 1 , wherein the target vehicle is determined to be forward of the host vehicle, and wherein determining whether the driver input would result in the host vehicle navigating within the proximity buffer includes determining that the driver input would result in a change in longitudinal distance between the target vehicle and the host vehicle.
10 . The system of claim 1 , wherein the target vehicle is determined to be in a lane different from the host vehicle, and wherein determining whether the driver input would result in the host vehicle navigating within the proximity buffer includes determining that the driver input would result in a lateral movement of the host vehicle, such that after the lateral movement, the target vehicle will be forward of the host vehicle.
11 . The system of claim 1 , wherein the target vehicle is determined to be in a lane different from the host vehicle, and wherein determining whether the driver input would result in the host vehicle navigating within the proximity buffer includes determining that the driver input would result in a lateral movement of the host vehicle, such that after the lateral movement, the host vehicle will be forward of the target vehicle.
12 . The system of claim 1 , wherein the sum further includes a predetermined minimum distance to be maintained between the host vehicle and the target vehicle.
13 . The system of claim 1 , wherein the throttle control includes an accelerator pedal, the brake control includes a brake pedal, and the steering control includes a steering wheel, and wherein the driver input includes at least one of a depression of the accelerator pedal, a depression of the brake pedal, a lack of depression of the brake pedal, a rotation of the steering wheel, or a non-rotation of the steering wheel.
14 . The system of claim 13 , wherein the one or more host vehicle control systems include at least one steering actuator to control a heading of the host vehicle, a braking actuator to cause application of a host vehicle braking device, or an acceleration actuator to cause application of a host vehicle throttle.
15 . The system of claim 14 , wherein prevention of the driver input from causing the corresponding change in the one or more host vehicle motion control systems includes at least one of preventing driver input to the steering wheel from resulting in a corresponding response by the at least one steering actuator, preventing driver input to the brake pedal from resulting in a corresponding response by the braking actuator, or preventing driver input to the accelerator pedal from resulting in a corresponding response by the acceleration actuator.
16 . The system of claim 1 , wherein preventing the driver input from causing the corresponding change in the one or more host vehicle motion control systems includes preventing a motion of at least one of the throttle control, the brake control, or the steering control.
17 . The system of claim 1 , wherein preventing the driver input from causing the corresponding change in the one or more host vehicle motion control systems includes disabling operability of at least one of the throttle control, the brake control, or the steering control.
18 . The system of claim 1 , wherein the at least one processing device is configured to control navigation of the host vehicle autonomously during intervals in which the at least one processing device prevents the driver input from causing the corresponding change in the one or more host vehicle motion control systems.
19 . A method for selectively displacing human driver control of a host vehicle, the method comprising:
receiving, from an image capture device, at least one image representative of an environment of the host vehicle;
detecting at least one obstacle in the environment of the host vehicle based on an analysis of the at least one image;
monitoring a driver input to at least one of a throttle control, a brake control, or a steering control associated with the host vehicle;
determining whether the driver input would result in the host vehicle navigating within a proximity buffer relative to the at least one obstacle;
allowing the driver input to cause a corresponding change in one or more host vehicle motion control systems, if the at least one processing device determines that the driver input would not result in the host vehicle navigating within the proximity buffer relative to the at least one obstacle; and
preventing the driver input from causing the corresponding change in the one or more host vehicle motion control systems, if the at least one processing device determines that the driver input would result in the host vehicle navigating within the proximity buffer relative to the at least one obstacle,
wherein the at least one obstacle includes a target vehicle, and the proximity buffer relative to the target vehicle is determined based on a sum of at least:
a host vehicle acceleration distance, determined as a distance over which the host vehicle will travel if accelerated at a maximum acceleration capability of the host vehicle over a reaction time associated with the host vehicle,
a host vehicle stopping distance, determined as a distance required to reduce a determined speed of the host vehicle to zero at a maximum braking rate capability of the host vehicle, the determined speed corresponding to a speed of the host vehicle if the host vehicle accelerated at the maximum acceleration capability of the host vehicle over the reaction time associated with the host vehicle, and
a target vehicle stopping distance, determined as a distance required to reduce a current speed of the target vehicle to zero at an assumed maximum braking rate capability of the target vehicle.
20 . The method of claim 19 , wherein the assumed acceleration rate of the host vehicle is a maximum acceleration capability of the host vehicle.
21 . The method of claim 19 , wherein the assumed acceleration rate of the host vehicle is a predetermined sub-maximal acceleration rate that is less than a maximum acceleration capability of the host vehicle.
22 . The method of claim 19 , wherein the assumed braking rate of the host vehicle is a maximum braking capability of the host vehicle.
23 . The method of claim 19 , wherein the assumed braking rate of the host vehicle is a predetermined sub-maximal braking rate that is less than a maximum braking capability of the host vehicle.
24 . The method of claim 19 , wherein the assumed braking rate of the target vehicle is determined based on at least one of a size of the target vehicle or a sensed condition of a road surface determined based on analysis of the at least one image.
25 . The method of claim 19 , wherein the target vehicle is determined to be forward of the host vehicle, and wherein determining whether the driver input would result in the host vehicle navigating within the proximity buffer includes determining that the driver input would result in a change in longitudinal distance between the target vehicle and the host vehicle.
26 . The method of claim 19 , wherein the target vehicle is determined to be in a lane different from the host vehicle, and wherein determining whether the driver input would result in the host vehicle navigating within the proximity buffer includes determining that the driver input would result in a lateral movement of the host vehicle, such that after the lateral movement, the target vehicle will be in the same lane as the host vehicle.
27 . A non-transitory computer readable medium containing instructions that when executed by at least one processor, cause the at least one processor to perform a method for selectively displacing human driver control of a host vehicle, the method comprising:
receiving, from an image capture device, at least one image representative of an environment of the host vehicle;
detecting at least one obstacle in the environment of the host vehicle based on an analysis of the at least one image;
monitoring a driver input to at least one of a throttle control, a brake control, or a steering control associated with the host vehicle;
determining whether the driver input would result in the host vehicle navigating within a proximity buffer relative to the at least one obstacle;
allowing the driver input to cause a corresponding change in one or more host vehicle motion control systems, if the at least one processing device determines that the driver input would not result in the host vehicle navigating within the proximity buffer relative to the at least one obstacle; and
preventing the driver input from causing the corresponding change in the one or more host vehicle motion control systems, if the at least one processing device determines that the driver input would result in the host vehicle navigating within the proximity buffer relative to the at least one obstacle,
wherein the at least one obstacle includes a target vehicle, and the proximity buffer relative to the target vehicle is determined based on a sum of at least:
a host vehicle acceleration distance, determined as a distance over which the host vehicle will travel if accelerated at a maximum acceleration capability of the host vehicle over a reaction time associated with the host vehicle,
a host vehicle stopping distance, determined as a distance required to reduce a determined speed of the host vehicle to zero at a maximum braking rate capability of the host vehicle, the determined speed corresponding to a speed of the host vehicle if the host vehicle accelerated at the maximum acceleration capability of the host vehicle over the reaction time associated with the host vehicle, and
a target vehicle stopping distance, determined as a distance required to reduce a current speed of the target vehicle to zero at an assumed maximum braking rate capability of the target vehicle.
28 . The non-transitory computer readable medium of claim 27 , wherein the assumed braking rate of the target vehicle is determined based on analysis of the at least one image.
29 . The non-transitory computer readable medium of claim 28 , wherein the assumed braking rate of the target vehicle is determined based on a size of the target vehicle determined based on the analysis of the at least one image.
30 . The non-transitory computer readable medium of claim 28 , wherein the assumed braking rate of the target vehicle is determined based on a sensed condition of a road surface determined based on the analysis of the at least one image.