Abstract: A method for dynamic regenerative braking of a vehicle includes sensing one or more parameters associated with a driving environment of the vehicle, the one or more parameters including parameters determined using a vision system of the vehicle position to capture the driving environment in a forward direction. The method further includes adjusting by an electronic device a dynamic regenerative braking level prior to initiation of braking in response to the one or more parameters. The method further includes resetting the dynamic regenerative braking level by the electronic device when the vehicle operator applies pressure to an accelerator interface. The accelerator interface may include an accelerator pedal. The method may further include applying regenerative braking at the dynamic regenerative braking level and prior to resetting the dynamic regenerative braking level by the electronic device.

Abstract: A method for dynamic regenerative braking of a vehicle includes sensing one or more parameters associated with a driving environment of the vehicle, the one or more parameters including parameters determined using a vision system of the vehicle position to capture the driving environment in a forward direction. The method further includes adjusting by an electronic device a dynamic regenerative braking level prior to initiation of braking in response to the one or more parameters. The method further includes resetting the dynamic regenerative braking level by the electronic device when the vehicle operator applies pressure to an accelerator interface. The accelerator interface may include an accelerator pedal. The method may further include applying regenerative braking at the dynamic regenerative braking level and prior to resetting the dynamic regenerative braking level by the electronic device.

Abstract: A system and related method for monitoring an occupant within a vehicle using a plurality of convolutional neural networks includes a processor, a sensor having a field of view that includes at least a portion of the occupant, and a memory. The memory may include a feature map module, a key point head module, a part affinity field head module, and a seatbelt head module. The modules include instructions that cause the processor to generate a key point heat map indicating a probability that a pixel is a joint of a plurality of joints of the occupant, a part affinity field heat map indicating a pairwise relationship between at least two joints of the plurality of joints of the occupant, and a seatbelt heat map indicating a likelihood that a pixel of the input image is a seatbelt.