Methods and apparatus to mitigate hard-braking events

A non-transitory computer readable storage medium comprising instructions that, when executed, cause a machine to at least:

• generate a deep learning model to identify and categorize a first object and a second object in a proximity of a vehicle and to identify a plurality of characteristics of the first and second objects;
• determine a first danger level associated with the first object, the first danger level indicative of a first measure of damage corresponding to a collision between the vehicle and the first object, based on a first characteristic of the plurality of characteristics;
• determine a second danger level associated with the second object, the second danger level indicative of a second measure of damage corresponding to a collision between the vehicle and the second object, based on a second characteristic of the plurality of characteristics;
• determine, based on the first danger level and the second danger level, a comfortability measure of at least one of a driver or one or more passengers of the vehicle, the comfortability measure associated with a predicted braking force required for one of a plurality of possible vehicle paths;
• determine, based on the comfortability measure associated with the plurality of vehicle paths, a response of the vehicle to avoid a collision with at least one of the first object or the second object;
• and
• generate instructions transmitted to a steering system or a braking system of the vehicle based on the determined vehicle response.

A method comprising:

• generating a deep learning model to identify and categorize a first object and a second object in a proximity of a vehicle and identifying a plurality of characteristics of the first and second objects;
• determining a first danger level associated with the first object, the first danger level indicative of a first measure of damage corresponding to a collision between the vehicle and the first object, based on a first characteristic of the plurality of characteristics;
• determine a second danger level associated with the second object, the second danger level indicative of a second measure of damage corresponding to a collision between the vehicle and the second object, based on a second characteristic of the plurality of characteristics;
• determining, based on the first danger level and the second danger level, a comfortability measure of at least one of a driver or one or more passengers of the vehicle, the comfortability measure associated with a predicted braking force required for one of a plurality of possible vehicle paths;
• determining, based on the comfortability measure associated with the plurality of possible vehicle paths, a response of the vehicle to avoid a collision with at least one of the first object or the second object;
• and
• generating instructions transmitted to a steering system or a braking system of the vehicle based on the determined vehicle response.