https://github.com/SSN15/Traffic-sign-recognition-using-deep-learning-and-computer-vision
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.
Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.
<span style="color:grey; opacity: 0.6">( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )</span>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations
Towards End-to-End Lane Detection: an Instance Segmentation Approach
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.