Automated adjustment of vehicle direction based on environment analysis

A system for managing vehicle operation, the system implemented in a vehicle and comprising a processor and a memory for executing computer-executable instructions to:

• obtain vehicle data comprising first data reflecting that the vehicle is to initiate travel and second data derived based on a plurality of image sensors positioned about the vehicle,
• wherein the second data is indicative of one or more obstacles positioned about the vehicle and determined based on a forward pass of image information from the plurality of image sensors through a vision-based machine learning model;
• determine individual confidence levels of individual vehicle operating modes, the vehicle operating modes comprising forward and reverse, wherein an individual confidence level is determined based on the second data and a period of time for which the vehicle has been stationary;
• and
• generate information to cause the vehicle to operate according to a vehicle operating mode selected based on the confidence levels.

Non-transitory computer readable storage comprising instructions that, when executed by one or more processors, cause the processors to perform operations comprising:

• obtaining operational information associated with a vehicle, the operational information comprising first data reflecting that the vehicle is to initiate travel and second data derived based on a plurality of image sensors positioned about the vehicle,
• wherein the second data is indicative of one or more obstacles positioned about the vehicle and determined based on a forward pass of image information from the plurality of image sensors through a vision-based machine learning model;
• determining individual confidence levels of individual vehicle operating modes, the vehicle operating modes comprising forward and reverse, wherein an individual confidence level is determined based on the second data and a period of time for which the vehicle has been stationary;
• and
• generating information to cause the vehicle to operate according to a vehicle operating mode selected based on the confidence levels.

A computer-implemented method for managing vehicle operation, the method comprising:

• obtaining vehicle data comprising first data reflecting that the vehicle is to initiate travel and second data derived based on a plurality of image sensors positioned about the vehicle,
• wherein the second data is indicative of one or more obstacles positioned about the vehicle and determined based on a forward pass of image information from the plurality of image sensors through a vision-based machine learning model;
• determining individual confidence levels of individual vehicle operating modes, the vehicle operating modes comprising forward and reverse, wherein an individual confidence level is determined based on the second data and a period of time for which the vehicle has been stationary;
• and
• generating information to cause the vehicle to operate according to a vehicle operating mode selected based on the confidence levels.