SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle 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.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5876–5900 of 6092 papers

TitleStatusHype
Online Temporal Calibration for Monocular Visual-Inertial SystemsCode0
Action Anticipation By Predicting Future Dynamic Images—0
Action Detection from a Robot-Car Perspective—0
Instance Segmentation by Deep ColoringCode0
SafeDrive: Enhancing Lane Appearance for Autonomous and Assisted Driving Under Limited Visibility—0
The Double Sphere Camera ModelCode0
Baidu Apollo EM Motion PlannerCode0
Future Semantic Segmentation with Convolutional LSTM—0
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point CloudCode0
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation—0
Efficient Decentralized Deep Learning by Dynamic Model AveragingCode0
Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving—0
LaneNet: Real-Time Lane Detection Networks for Autonomous DrivingCode0
Learning to Drive in a DayCode0
Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular CameraCode0
Human Action Recognition and Prediction: A Survey—0
The Virtuous Machine - Old Ethics for New Technology?—0
CFENet: An Accurate and Efficient Single-Shot Object Detector for Autonomous DrivingCode0
Conditional Affordance Learning for Driving in Urban EnvironmentsCode0
G2D: from GTA to DataCode0
Real-time Lane Marker Detection Using Template Matching with RGB-D Camera—0
Deep Continuous Conditional Random Fields with Asymmetric Inter-object Constraints for Online Multi-object Tracking—0
Conditional Generative Adversarial Network for Structured Domain Adaptation—0
DenseASPP for Semantic Segmentation in Street ScenesCode0
LiDAR-Video Driving Dataset: Learning Driving Policies Effectively—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified