1. A method for location measurement and night-time forward vehicle detection using a single multi-exposure camera comprising: a preprocessing to select a long exposure frame image and a short exposure frame image among an auto exposure, a long exposure, a middle exposure and a short exposure of a multi-exposure camera; a candidate BLOB (Binary Large Objects) extracting to label and extract a candidate region by using a local maximum based binarization, to minimize binarization by adding at least two BLOBs at the long exposure frame image and, to extract the candidate region through labeling and, to use a local-mean based binarization to extract a headlight and taillight of long distance in the short exposure frame image to the candidate region; a BLOB matching and feature extracting to predict a BLOB location using a BLOB tracking based on the short exposure frame image and to detect a candidate BLOB in a different exposure frame image by designating a BLOB of a location which is closest to a predicted location in the long exposure frame to the same BLOB then, to extract a specific information regarding the candidate BLOB from the different exposure frame image; and a MC_SVM (Multi-Class Support Vector Machine) classifying to classify related BLOBs in the different exposure frame image to a headlight, a taillight, a reflector and an illuminant using a MC_SVM (Multi-Class Support Vector Machine) based on the features extracted from the long exposure frame and the short exposure frame; and pairing which detects a pair of BLOBs in the different exposure frame image belonging to the same vehicle by comparing the BLOBs classified as the headlight and taillight in the MC_SVM classifying according to barycentric coordinates.