3 accepted papers
Vision-based localization and mapping solution is promising to be adopted in the automated valet parking task. In this paper, a semantic SLAM framework that leverages the hybrid edge information on bird’s-eye view images is presented. To extract useful edges from the synthesized bird’s-eye view imag…
Real-time scene parsing is a fundamental feature for autonomous driving vehicles with multiple cameras. In this letter we demonstrate that sharing semantics between cameras with different perspectives and overlapping views can boost the parsing performance when compared with traditional methods, whi
In this paper, we present a multi-camera visual odometry (VO) system for an autonomous vehicle. Our system mainly consists of a virtual LiDAR and a pose tracker. We use a perspective transformation method to synthesize a surroundview image from undistorted fisheye camera images. With a semantic segm…