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 4551–4575 of 6092 papers

TitleStatusHype
Revisiting 3D Object Detection From an Egocentric Perspective—0
Pedestrian Trajectory Prediction via Spatial Interaction Transformer Network—0
Embracing Single Stride 3D Object Detector with Sparse Transformer—0
Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward—0
On Adversarial Robustness of Point Cloud Semantic SegmentationCode0
Sparse Depth Completion with Semantic Mesh Deformation Optimization—0
How Private Is Your RL Policy? An Inverse RL Based Analysis FrameworkCode0
Self-Ensemling for 3D Point Cloud Domain Adaption—0
FPPN: Future Pseudo-LiDAR Frame Prediction for Autonomous Driving—0
Real-time Collision Risk Estimation based on Stochastic Reachability SpacesCode0
Radar Occupancy Prediction with Lidar Supervision while Preserving Long-Range Sensing and Penetrating Capabilities—0
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video—0
MDPFuzz: Testing Models Solving Markov Decision Processes—0
SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Prediction—0
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset—0
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving—0
Probabilistic Approach for Road-Users Detection—0
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles—0
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering—0
Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions—0
SaDe: Learning Models that Provably Satisfy Domain Constraints—0
Pattern-Aware Data Augmentation for LiDAR 3D Object Detection—0
Large-Scale Video Analytics through Object-Level Consolidation—0
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain ConcatenationCode0
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data—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