| 4 | 1/1 | 返回列表 |
| 查看: 1204 | 回復(fù): 3 | |||
wentis新蟲 (初入文壇)
|
[求助]
幫忙分析下審稿意見
|
|
兩個(gè)月之前投了一篇文章到IET Image Processing,今天回了審稿意見,一共有三個(gè)審稿人,請(qǐng)幫忙分析下。 第一個(gè)審稿人提出的格式上的錯(cuò)誤,并要求提高英文寫作水平; 第二個(gè)審稿人意見如下: The paper is on a vital topic. For increase in value of the paper statement the improvement of an illustrative material is required. On fig. 3 and 8 the system of vehicle co-ordinates is unsuccessfully shown. In other drawings basically are shown (small and is badly distinguishable) separate steps of algorithms, with reference to separate image. At the same time, the important question discussed in the paper, tracking of multistrip road is. To illustrate possibilities of described algorithms, it is necessary to show change of results at transition from one image to another in the course of vehicle movement. It is thus important to specify vehicle speed. Other actual problem mentioned in the paper, association of LIDAR and mono-videocameras data is. From the point of view of practical application here it is necessary to give more attention to the description of corresponding points finding in the course of such system calibration. Whether corresponding points defined manual? With what accuracy? What resultant accuracy turns out at combination of real images and LIDAR data? 第三個(gè)審稿人意見: Comments to the Author contribution: Free space segmentation based on LIDAR, Initializing tracking without knowing the ego-motion information. A global evaluation of the performance of the algorithm is obtained on real driving situation in urban scenarios (by using manually ground-true). It will be interesting to evaluate (independently , not Globally ) the behavior of the proposed method with respect to several conditions as : discontinuous lane markings, illumination changes, and shallows or occlusions. Is it possible to evaluate with the experiments , the benefit of the combination of the two source of information ( lidar and image)? 哪位大神能夠分析下第二個(gè)審稿人的意見,感覺有好多句子都讀不懂,還有像這樣的審稿意見大修再返能有多大的機(jī)會(huì)中? |
|
雖然不是一個(gè)領(lǐng)域,但大致能看出第二個(gè)審稿人明顯讓你補(bǔ)充內(nèi)容: 1、 it is necessary to show change of results at transition from one image to another in the course of vehicle movement. 2、it is necessary to give more attention to the description of corresponding points finding in the course of such system calibration. (包括:Whether corresponding points defined manual? With what accuracy? What resultant accuracy turns out at combination of real images and LIDAR data?) 只要按照審稿人的要求改,一般能中吧。祝你好運(yùn)! |
至尊木蟲 (著名寫手)
至尊木蟲 (文壇精英)
| 4 | 1/1 | 返回列表 |
| 最具人氣熱帖推薦 [查看全部] | 作者 | 回/看 | 最后發(fā)表 | |
|---|---|---|---|---|
|
[考研] 324求調(diào)劑 +5 | lucky呀呀呀鴨 2026-03-20 | 5/250 |
|
|---|---|---|---|---|
|
[考研]
|
然11 2026-03-19 | 4/200 |
|
|
[考研] 中南大學(xué)化學(xué)學(xué)碩337求調(diào)劑 +3 | niko- 2026-03-19 | 6/300 |
|
|
[考研] 289求調(diào)劑 +6 | 懷瑾握瑜l 2026-03-20 | 6/300 |
|
|
[考研] 一志愿西安交通大學(xué) 學(xué)碩 354求調(diào)劑 +3 | 我想要讀研究生 2026-03-20 | 3/150 |
|
|
[考研] 材料與化工專碩調(diào)劑 +7 | heming3743 2026-03-16 | 7/350 |
|
|
[考研] 286分人工智能專業(yè)請(qǐng)求調(diào)劑愿意跨考! +3 | lemonzzn 2026-03-17 | 4/200 |
|
|
[考研] 304求調(diào)劑 +5 | 曼殊2266 2026-03-18 | 5/250 |
|
|
[考研] 本科鄭州大學(xué)物理學(xué)院,一志愿華科070200學(xué)碩,346求調(diào)劑 +4 | 我不是一根蔥 2026-03-18 | 4/200 |
|
|
[考研] 一志愿華中科技大學(xué),080502,354分求調(diào)劑 +4 | 守候夕陽CF 2026-03-18 | 4/200 |
|
|
[考研] 304求調(diào)劑 +12 | 小熊joy 2026-03-14 | 13/650 |
|
|
[考研] 考研求調(diào)劑 +3 | 橘頌. 2026-03-17 | 4/200 |
|
|
[考研] 268求調(diào)劑 +8 | 一定有學(xué)上- 2026-03-14 | 9/450 |
|
|
[考研] 326求調(diào)劑 +5 | 上岸的小葡 2026-03-15 | 6/300 |
|
|
[論文投稿] 有沒有大佬發(fā)小論文能帶我個(gè)二作 +3 | 增銳漏人 2026-03-17 | 4/200 |
|
|
[考研] 考研調(diào)劑 +3 | 淇ya_~ 2026-03-17 | 5/250 |
|
|
[考研] 東南大學(xué)364求調(diào)劑 +5 | JasonYuiui 2026-03-15 | 5/250 |
|
|
[考研] 333求調(diào)劑 +3 | 文思客 2026-03-16 | 7/350 |
|
|
[考研] 321求調(diào)劑 +5 | 大米飯! 2026-03-15 | 5/250 |
|
|
[考研] 289求調(diào)劑 +4 | 這么名字咋樣 2026-03-14 | 6/300 |
|