Abstract: An improved system for detecting the presence of an object in the path of a liftgate relies upon the sensor/transmitters that are used for collision avoidance systems to detect the presence of an object rearwardly of a vehicle moving in a reverse direction. Known sensors are provided to look for the presence of an object when the vehicle is being moved in a reverse direction. The sensors are now also actuated when the liftgate is being moved to its closed position. Should an object be detected, further movement of the liftgate is stopped. The present invention thus detects the presence of an object in the path of a liftgate prior to any contact. Further, the invention combines two prior control modules into a single control module.

Abstract: A system is provided for detecting the presence of a human in a compartment of a vehicle that comprises a pyroelectric sensor and a control coupled to the pyroelectric sensor. The pyroelectric sensor comprises a first sensing element and a second sensing element. The first sensing element is arranged in an opposed electrical connection with respect to the second sensing element whereby infrared radiation from a human moving within the compartment is selectively detected by one of the first sensing element and the second sensing element, thereby producing an output signal of the pyroelectric sensor. This output signal is received by the control, and the control generates a control signal indicative of detection of a human within the compartment.

Abstract: A multiple dimension vector-based occupancy sensor. One or more sensors (for example, ultrasonic and/or infrared sensors) are used to produce one or more occupancy estimator vectors. The individual dimensions of the one or more occupancy estimator vectors are combined using a fusion based detection algorithm to produce a combined estimator signal. The combined estimator is then used to switch electrical loads when the combined estimator signal is above a predetermined threshold. The result is an occupancy sensor that has a very high probability of occupancy detection and a low probability of false tripping.