Abstract: Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, an identity of a vehicle operator may be determined and a vehicle operator profile and/or operating data regarding autonomous operation features of the vehicle may be received after the vehicle operator opts into a rewards program and agrees to share their data. Autonomous operation and vehicle operator risk levels associated with operation of the autonomous or semi-autonomous vehicle may be determined. Based upon the risk levels and/or comparison thereof, one or more autonomous operation features may be disengaged. A preparedness level of the vehicle operator to assume or reassume control of operating the vehicle is determined prior to disengagement. If satisfactory, an alert is presented to the vehicle operator prior to disengagement of the autonomous operation features.

Abstract: According to certain aspects, a computer-implemented method for operating an autonomous or semi-autonomous vehicle may be provided. With the customer's permission, an identity of a vehicle operator may be identified and a vehicle operator profile may be retrieved. Operating data regarding autonomous operation features operating the vehicle may be received from vehicle-mounted sensors. When a request to disable an autonomous feature is received, a risk level for the autonomous feature is determined and compared with a driver behavior setting for the autonomous feature stored in the vehicle operator profile. Based upon the risk level comparison, the autonomous vehicle retains control of vehicle or the autonomous feature is disengaged depending upon which is the safer driver—the autonomous vehicle or the vehicle human occupant. As a result, unsafe disengagement of self-driving functionality for autonomous vehicles may be alleviated.

Abstract: A radar signal processor which operates without clutter canceller and AGC circuits by applying an adaptive weighting circuit which adjusts the FFT weighting function on a range gate basis to account for clutter in that range gate. An input buffer determines Log.sub.2 values per range gate for use in the weighting operation and a normalization circuit scales the weighted FFT output to facilitate post-processing.

Abstract: In a pulse doppler radar system which provides dynamic correction to variable radar echo return signals from clutter end targets using a block adaptive signal regulator (BASR) and a fast Fourier transform (FFT), a gain restoration circuit is used to optimize the gain corrected amplitudes over a plurality of time samples so that the tendancy of larger targets to obscure the return signals of smaller targets is minimized. The BASR conventionally evaluates the amplitude of echo returns in each time sample before it enters the FFT, by determining if they exceed the radar receiver's dynamic range, and dividing all samples by 2.sup.N when a sample exceeds the dynamic range (where N equals a shift number which signifies a shift by the BASR). The gain restoration circuit feeds information which indicates the number of BASR shifts to the output of the FFT as a function of range gate.

Abstract: A technique and apparatus are disclosed for determining the performance of a pulse doppler radar system every integration period. The test is accomplished by injecting into the front end of the radar a highly calibrated signal during initialization or during a periodic test and measuring the signal at the Fast Fourier Transform (FFT) output. This measured signal is used by the radar signal processor as a reference signal which is adjusted for internally induced changes by the radar's signal processing system then summed with the in-phase amplitude of the selected range gate filter cell. The sumed signal and the cell quadrature amplitude are then envelope detected, and a detection counter is incremented when the envelope detection compares favorably with the cell's constant false alarm rate. Each integration period, the process is repeated for all range gate filter cells to obtain a detection count. Then the probability of detection is estimated using the equation: ##EQU1## where N.sub.