提交 9638e571 编写于 作者: Tim's avatar Tim

Fixxed typos.

上级 5810c980
......@@ -7,8 +7,8 @@ From working with different customers, a significant fragmentation emerged in th
The lack of a common Labeling standard in the industry is the root cause of several different issues:
* *Hampered Vehicle2X Interaction*: the different descriptions/understandings of surroundings may cause casualties in complex situations involving two or more different ADS's OpenLABEL could support filling the existing V2X standards like ITS G5.
* *Precluded sharing*: It results highly difficult if not impossible to share data across organizations adopting different Labeling taxonomies and specifications
* *Lowered Annotation quality*: Each individual labeling task requires ad-hoc training and even custom software features development to be completed, that translates into a higher probability of errors and thus a threat to safety
* *Precluded sharing*: It results highly difficult if not impossible to share data across organizations adopting different Labeling taxonomies and specifications.
* *Lowered Annotation quality*: Each individual labeling task requires ad-hoc training and even custom software features development to be completed, that translates into a higher probability of errors and thus a threat to safety.
* *Deprecation of old labels*: Long-term operation of ADS development imply changes in quantity and richness of labels to be produced, considering the evolution of the driving scenes, new sensors, and scenarios. As a consequence, a flexible descriptive language is required to absorb future extensions/modifications of labels and guarantee back-compatibility.
In sum, the absence of a labeling standard such as OpenLABEL is ultimately a significant safety threat for all road users surrounding any kind of vehicle which is being operated in autonomous or semi-autonomous (SAE Level >=2) mode.
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......@@ -70,7 +70,7 @@ label
General requirements for the format and the structure are:
* make the labeled data mergeable (without converter in between) to extend existing datasets
* make Datasets comparable
* make datasets comparable
* easy to understand
* human readable
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