Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization.
Wei-Chiu MaIgnacio TartavullIoan Andrei BârsanShenlong WangMin BaiGellért MáttyusNamdar HomayounfarShrinidhi Kowshika LakshmikanthAndrei PokrovskyRaquel UrtasunPublished in: CoRR (2019)
Keyphrases
- autonomous driving
- driver assistance systems
- intelligent vehicles
- dangerous situations
- traffic accidents
- sparse data
- semantic web
- natural language
- driving simulator
- semantic similarity
- pedestrian detection
- semantic description
- high level
- real time
- localization method
- semantic web technologies
- grand challenge
- high definition
- object localization
- compressive sensing
- semantic information
- sparse representation
- intelligent transport systems
- autonomous underwater vehicle
- accurate localization
- fuel consumption
- traffic signs
- semantic annotation
- domain specific
- high dimensional
- computer vision