4月21日上午10:00-12:00，應計算機科學與技術學院邀請，英國拉夫堡大學博士，拉夫堡大學項目管理教學助理，江蘇省常州市浦福森爾貿易有限公司副總經理、高級顧問王威超將在我校計算機科學與技術學院一樓會議室作“Camera based decision making at roundabouts for autonomous vehicles”的專題講座，歡迎廣大師生準時參加。

4月21日上午10:00-12:00，應計算機科學與技術學院邀請，英國拉夫堡大學博士，拉夫堡大學項目管理教學助理，江蘇省常州市浦福森爾貿易有限公司副總經理、高級顧問王威超將在我校計算機科學與技術學院一樓會議室作“Camera based decision making at roundabouts for autonomous vehicles”的專題講座，歡迎廣大師生準時參加。

題目：Camera based decision making at roundabouts for autonomous vehicles

報告人：王威超

時間：2017年4月21日 上午 10:00

地點：計算機科學與技術學院一樓會議室

摘要：Making the right decision on joining a roundabout safely and at the right time is challenging for autonomous vehicles. Several factors need to be considered including approaching vehicles’ location, speed and their intention. This project investigates fast and reliable computer vision based methods and machine learning algorithms to support above decision making. In particular a grid-based approach has been proposed to quickly assess the current situation at a roundabout, and to learn when is safe to join the roundabout and at which speed based on human driving samples at roundabouts in natural driving environment. Furthermore, the proposed approach will learn different driving strategies to adapt to each individual’s driving behaviour and profile. Several preliminary experiments have been conducted to demonstrate the feasibility of the proposed approach.

報告人簡介：王威超(Alvin Wang)，英國拉夫堡大學（Loughborough University）計算機科學專業(yè)博士。主要研究方向為機器人，無人駕駛系統(tǒng)，具體內容包括：智能神經網絡算法研究、無人駕駛車輛運動檢測技術、無人駕駛車輛運動控制算法研究。就讀于英國拉夫堡大學計算機科學專業(yè)的王威超曾擔任江蘇省常州市浦福森爾貿易有限公司副總經理、高級顧問，現(xiàn)于拉夫堡大學任項目管理教學助理一職。作為英國留學生的他有著中英雙方本土教育背景，深諳機器人技術融合發(fā)展的趨勢。