6 results about "Vision based systems" patented technology

A trailer backup assist system and method are disclosed that utilize a steer-by-wire architecture and advanced control algorithms to enable intuitive and stable trailer reversing. A hitch angle determination module measures or estimates the angular relationship between a towing vehicle and a trailer. A proportional controller computes a desired hitch angle rate based on the difference between a target and current hitch angle, and a processing unit converts this rate to a front wheel steering angle using a linearized kinematic model. The system includes a trailer length estimator that passively infers trailer geometry during motion, and optionally applies torque feedback to the steering wheel to guide the driver. Sensor fusion from inertial sensors, mechanical linkages, or vision-based systems enables flexible hitch angle estimation. Experimental results demonstrate that the system stabilizes trailer motion with reduced driver input and prevents jackknifing through adaptive control.

A computer implemented method including: capturing, with a first image sensor of a camera that is disposed on an implement, a first sequence of images while the implement travels through an agricultural field; capturing, with a second image sensor of the camera, a second sequence of images while the implement travels through the agricultural field; training a neural network (NN) model with image data from at least one channel of the first image sensor and one channel of the second image sensor; and providing weed size as NN training target output channel.

Aspects of the present application correspond to utilization of a combined set of inputs from simulation systems to generate or train machine learned algorithms for utilization in vehicles with vision system-only based processing. Aspects of the present application correspond to utilization of a set of inputs from sensors or sensing systems and simulation systems to create updated training sets for use in machine learning algorithms. The combined set of inputs includes a first set of data corresponding to vision system from a plurality of cameras configured in a vehicle. The combined set of inputs further includes a second set of data corresponding to simulated content systems that generate additional training set data including visual images and data labels to supplement the vision system data.

An Automated Computer-Vision based system and method for identifying potential hazards to building occupants in building exit pathways is described to address the inherent challenges in manual building safety inspections. The computer vision-based approach automates the inspection of an interior building hallway (exit access) for an obstruction that may be a potential hazard. The invention mitigates the risk of a hazard to the building occupants by sensing and alerting the safety officer before a situation turns into an emergency. Test results demonstrate that the Dual Temporal Buffer Differencing (DTBD) method of the invention can detect a potential hazard in the building exit access effectively and continuously. As a result, the invention can facilitate safety in the building and allow safety inspectors to make better use of resources.

Aspects of the present application correspond to utilization of a combined set of inputs from simulation systems to generate or train machine learned algorithms for utilization in vehicles with vision system-only based processing. Aspects of the present application correspond to utilization of a set of inputs from sensors or sensing systems and simulation systems to create updated training sets for use in machine learning algorithms. The combined set of inputs includes a first set of data corresponding to vision system from a plurality of cameras configured in a vehicle. The combined set of inputs further includes a second set of data corresponding to simulated content systems that generate additional training set data including visual images and data labels to supplement the vision system data.