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 5601–5650 of 6092 papers

TitleStatusHype
Dynamic Input for Deep Reinforcement Learning in Autonomous Driving—0
Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural ImagesCode0
Conf-Net: Toward High-Confidence Dense 3D Point-Cloud with Error-Map PredictionCode0
Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction—0
Class-specific Anchoring Proposal for 3D Object Recognition in LIDAR and RGB Images—0
Speeding Up Iterative Closest Point Using Stochastic Gradient DescentCode0
Characterizing Attacks on Deep Reinforcement LearningCode0
Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition—0
GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous DrivingCode1
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is ComingCode0
A General Framework for Uncertainty Estimation in Deep LearningCode0
Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving—0
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving—0
Autonomous Driving in the Lung using Deep Learning for Localization—0
Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation—0
M3D-RPN: Monocular 3D Region Proposal Network for Object DetectionCode1
S&CNet: Monocular Depth Completion for Autonomous Systems and 3D Reconstruction—0
A Survey of Deep Learning-based Object Detection—0
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems—0
Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments—0
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving—0
3D Multi-Object Tracking: A Baseline and New Evaluation MetricsCode0
A Multi-Stage Clustering Framework for Automotive Radar Data—0
Large-scale, real-time visual-inertial localization revisited—0
Voxel-FPN: multi-scale voxel feature aggregation in 3D object detection from point clouds—0
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering BandwidthCode1
Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving—0
End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving—0
Probabilistic model predictive safety certification for learning-based control—0
Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction—0
A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement LearningCode0
Machine Learning Testing: Survey, Landscapes and Horizons—0
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies—0
Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss—0
Weather Influence and Classification with Automotive Lidar Sensors—0
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks—0
6D-VNet: End-to-end 6DoF Vehicle Pose Estimation from Monocular RGB ImagesCode0
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous DrivingCode0
Adaptive Optimal Control for Reference Tracking Independent of Exo-System Dynamics—0
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep NetworksCode0
Multimodal End-to-End Autonomous Driving—0
Key Ingredients of Self-Driving Cars—0
GAMMA: A General Agent Motion Model for Autonomous DrivingCode0
RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving—0
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding ApproachCode0
Object Detection With Location-Aware Deformable Convolution and Backward Attention Filtering—0
DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios—0
L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving—0
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving—0
LeTS-Drive: Driving in a Crowd by Learning from Tree Search—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