Automotive Research & Testing Center

Automotive Research & Test Center

Liang-Yu Ke

Chan-Wei Hsu

Ming-Kuan Ko

Chih-Neng Liang

Bo-Chiuan Chen

An inertial sensor calibration method has steps of mounting an observer device and an inertial sensor of a vehicle carrying on an inertial move, acquiring actual vehicle motion data from the observer device and inertial signal data of the inertial sensor, calculating an integral corresponding to the vehicular dynamic variation model with respect to the inertial signal data to obtain predicted vehicle sensor data and calculating variations of the actual vehicle motion data, acquiring differences between the two calculated data, applying an energy optimization and a discretization to the differences so as to obtain parametric error variances, and feeding back the parametric error variances to the vehicular dynamic variation model to calibrate the parameters associated with offset and scale factor and acquire a calibrated vehicular dynamic variation model. Under the premise of no GPS, electronic compass or pressure sensor, the present invention can secure positioning continuity and reliability.

Inertial sensor calibration method for vehicles and device therefor

A parking space detection device and method thereof, wherein, firstly, store a plurality of border data relating to moved distance of a vehicle, and distance between vehicle and an obstacle for reverse transmission of ultrasonic waves; then determine if said border data satisfy evaluation conditions, such that it is in a first detecting parking space then obstacle state, or in a first detecting obstacle then parking space state. Wherein, in case that any of evaluation conditions is satisfied, start to calculate a first difference between each of said border data and their average, to determine if it is grater than a standard deviation; in case that answer is positive, fetch at least two data points, a first data point and a second data point, corresponding to border data, then calculate their difference to adjust weights of first data point and second data point, in obtaining a highly accurate parking space.

Parking space detection device and method thereof

This specification discloses a driving safety auxiliary network administration system and the method thereof. Vehicles in motion communicate with each other about their geographical locations and current moving states within a communication range. At least one of the vehicles in the communication range becomes the router of several other vehicles that are at dead corners of wireless communications. The router is responsible for transferring vehicle state signals of those vehicles out of direct communications between them. Therefore, all the vehicles in the communication range are not blocked by terrains, buildings or other vehicles. All of them are taken into account to assess and find possible dangerous vehicles. This technique can effectively solve the problem of dead corners in driving safety auxiliary network communications. Highly important packets can be immediately and reliably transmitted to the corresponding vehicles, providing efficient warnings.

Driving safety auxiliary network administration system and method thereof

A vehicle collision avoidance system is implemented in a host vehicle. A wireless communication module in the host vehicles wirelessly broadcasts vehicle information packages of the host vehicle and receives external vehicle information packages from other neighboring vehicles. Based on the received vehicle information packages, a collision avoidance process is performed. The process has steps of mapping coordinates system, categorizing collision zones, determining whether a possible collision position exists, calculating a collision time and outputting warning messages. The estimations of the possible collision position and the collision time are not affected by the positions of the neighboring vehicles. Therefore, the neighboring vehicles approaching the host vehicle from different direction are effectively monitored.

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Kaohsiung, Taiwan

Liang-Yu Ke