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 2851–2875 of 6092 papers

TitleStatusHype
Transparency Distortion Robustness for SOTA Image Segmentation Tasks—0
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting—0
Mutual Information Analysis in Multimodal Learning Systems—0
A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation—0
Stereo-Knowledge Distillation from dpMV to Dual Pixels for Light Field Video Reconstruction—0
Searching Realistic-Looking Adversarial Objects For Autonomous Driving Systems—0
RuleFuser: An Evidential Bayes Approach for Rule Injection in Imitation Learned Planners and Predictors for Robustness under Distribution Shifts—0
Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks—0
Team Samsung-RAL: Technical Report for 2024 RoboDrive Challenge-Robust Map Segmentation Track—0
GEOcc: Geometrically Enhanced 3D Occupancy Network with Implicit-Explicit Depth Fusion and Contextual Self-Supervision—0
*: Improving the 3D detector by introducing Voxel2Pillar feature encoding and extracting multi-scale features—0
Infrared Adversarial Car Stickers—0
Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention—0
Cooperative Visual-LiDAR Extrinsic Calibration Technology for Intersection Vehicle-Infrastructure: A review—0
Collision Avoidance Metric for 3D Camera EvaluationCode0
Perception Without Vision for Trajectory Prediction: Ego Vehicle Dynamics as Scene Representation for Efficient Active Learning in Autonomous Driving—0
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation—0
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition—0
Ambiguous Annotations: When is a Pedestrian not a Pedestrian?—0
The Pitfalls and Promise of Conformal Inference Under Adversarial AttacksCode0
oTTC: Object Time-to-Contact for Motion Estimation in Autonomous Driving—0
MaskFuser: Masked Fusion of Joint Multi-Modal Tokenization for End-to-End Autonomous Driving—0
Modeling Pedestrian Intrinsic Uncertainty for Multimodal Stochastic Trajectory Prediction via Energy Plan Denoising—0
Large Language Models for Education: A Survey—0
Multi-agent Traffic Prediction via Denoised Endpoint Distribution—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