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 2951–2975 of 6092 papers

TitleStatusHype
OCBEV: Object-Centric BEV Transformer for Multi-View 3D Object Detection—0
AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset—0
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception—0
Doubly Robust Self-TrainingCode0
AWQ: Activation-aware Weight Quantization for LLM Compression and AccelerationCode6
Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Planning with Transformers—0
Special Session: Approximation and Fault Resiliency of DNN Accelerators—0
Virtual and Real Data Populated Intersection Visualization and Testing Tool for V2X Application Development—0
CAROM Air -- Vehicle Localization and Traffic Scene Reconstruction from Aerial VideosCode1
BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned ApproximationsCode1
Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attentionCode0
TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving—0
Cross-Domain Car Detection Model with Integrated Convolutional Block Attention Mechanism—0
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System—0
Data and Knowledge for Overtaking Scenarios in Autonomous Driving—0
UniScene: Multi-Camera Unified Pre-training via 3D Scene Reconstruction for Autonomous DrivingCode2
Learning Off-Road Terrain Traversability with Self-Supervisions Only—0
Sit Back and Relax: Learning to Drive Incrementally in All Weather ConditionsCode0
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement LearningCode1
A Learning-based Nonlinear Model Predictive Controller for a Real Go-Kart based on Black-box Dynamics Modeling through Gaussian Processes—0
RLAD: Reinforcement Learning from Pixels for Autonomous Driving in Urban Environments—0
TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition—0
Backdooring Neural Code SearchCode1
On the Importance of Backbone to the Adversarial Robustness of Object DetectorsCode0
Selective Communication for Cooperative Perception in End-to-End 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