Autonomous driving paper index
Everyday Visual News
One-line summary
With an international overview of how local visual news is made, sourced, edited, and published across geographical areas, this book explores how audiences respond to the visual news that is locally available.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
With an international overview of how local visual news is made, sourced, edited, and published across geographical areas, this book explores how audiences respond to the visual news that is locally available. In order to listen to audiences, the book uses a rich mix of methods including photo-ranking exercises, digital diary studies, photo voice studies, and interviews with journalists and more than 100 community members. The book adopts the focus on visual news as audience behaviours and expectations are shifting as journalists struggle to maintain trust and loyalty. Additionally, it responds to the importance of visuals in attracting attention, helping people navigate information landscapes, and providing more emotional connections with the people and places represented in journalistic storytelling. By paying attention to audience feedback and seeing communities through their eyes, this book offers a path for bringing journalists and audiences closer together and to improving journalistic quality as a result. Everyday Visual News serves as a valuable reference and starting point for advanced students and researchers of local and visual journalism and news audiences.
Links and sources
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