Using camera data to manage a vehicle parked outside in cold climates
AssigneeAmbarella International LP
InventorsGreg Hedman, Shimon Pertsel
Life of this patent
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Abstract
An apparatus includes an interface and a processor. The interface may be configured to receive video frames comprising at least one of a vehicle or an outdoor environment near the vehicle and a correction signal. The processor may be configured to perform video operations on the video frames to detect objects, predict a state of the vehicle based on the objects detected in the video frames and generate the correction signal. The correction signal may be configured to apply a corrective measure based on the predicted state of the vehicle. The state of the vehicle may be predicted when the vehicle is parked in the outdoor environment. The state of the vehicle may comprise factors that prevent driving the vehicle.
Claims20
An apparatus comprising:
- an interface configured to receive (i) pixel data comprising at least one of (a) a vehicle or (b) an outdoor environment near said vehicle and (ii) a correction signal;
- and
- a processor configured to (i) process said pixel data arranged as video frames, (ii) perform video operations on said video frames to detect objects, (iii) predict a state of said vehicle based on said objects detected in said video frames, (iv) generate said correction signal and (v) determine a visual confirmation in response to said correction signal and said video frames, wherein (a) said correction signal is configured to apply a corrective measure based on said predicted state of said vehicle, (b) said state of said vehicle comprises factors that prevent driving said vehicle, (c) said visual confirmation compares said state of said vehicle before said correction signal and after said correction signal to (i) monitor a result for whether said factors that prevent driving said vehicle have been corrected by said corrective measure and (ii) determine an amount of time for said result to enable said state of said vehicle to be drivable with respect to detected weather conditions, (d) training data is generated for estimating said result in said detected weather conditions using said amount of time, said corrective measure and said state of said vehicle and (e) said training data is used by a convolutional neural network to predict said state of said vehicle accurately.
An apparatus comprising:
- an interface configured to receive (i) pixel data comprising at least one of (a) a vehicle or (b) an outdoor environment near said vehicle and (ii) a correction signal;
- and
- a processor configured to (i) process said pixel data arranged as video frames, (ii) perform video operations on said video frames to detect objects, (iii) predict a state of said vehicle based on said objects detected in said video frames, (iv) generate said correction signal, (v) determine a visual confirmation in response to said correction signal and said video frames and (vi) determine a battery status of said vehicle, wherein (a) said correction signal is configured to apply a corrective measure based on (i) said predicted state of said vehicle and (ii) said battery status, (b) said state of said vehicle comprises factors that prevent driving said vehicle, (c) said visual confirmation compares said state of said vehicle before said correction signal and after said correction signal to (i) monitor a result for whether said factors that prevent driving said vehicle have been corrected by said corrective measure and (ii) determine an amount of time for said result to enable said state of said vehicle to be drivable with respect to detected weather conditions and (d) said correction signal selects said corrective measure with a higher power consumption when said battery status indicates said vehicle will not run out of energy and said corrective measure with a lower power consumption when said battery status indicates said vehicle will run out of said energy with said corrective measure having said higher power consumption.
Dependencies are inferred from the claim text.