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 4351–4375 of 6092 papers

TitleStatusHype
Injecting Planning-Awareness into Prediction and Detection EvaluationCode1
Hierarchical Potential-based Reward Shaping from Task SpecificationsCode0
3D-FCT: Simultaneous 3D Object Detection and Tracking Using Feature Correlation—0
Reversible Attack based on Local Visual Adversarial Perturbation—0
Influencing Towards Stable Multi-Agent Interactions—0
A Methodology to Identify Cognition Gaps in Visual Recognition Applications Based on Convolutional Neural Networks—0
Deep Instance Segmentation with Automotive Radar Detection Points—0
CertainNet: Sampling-free Uncertainty Estimation for Object Detection—0
Marginally calibrated response distributions for end-to-end learning in autonomous drivingCode0
Cycle-Consistent World Models for Domain Independent Latent Imagination—0
Classification of Time-Series Data Using Boosted Decision TreesCode0
Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning—0
How To Not Drive: Learning Driving Constraints from Demonstration—0
Emergency Vehicles Audio Detection and Localization in Autonomous Driving—0
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation—0
Transferability Estimation for Semantic Segmentation Task—0
Calibration Regularized Training of Deep Neural Networks using Kernel Density Estimation—0
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents—0
Fight fire with fire: countering bad shortcuts in imitation learning with good shortcuts—0
Joint Self-Supervised Learning for Vision-based Reinforcement Learning—0
Lidar Range Image Compression with Deep Delta Encoding—0
Explanation-Aware Experience Replay in Rule-Dense EnvironmentsCode0
A Step Towards Efficient Evaluation of Complex Perception Tasks in Simulation—0
Up-to-Down Network: Fusing Multi-Scale Context for 3D Semantic Scene Completion—0
Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving—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