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 2526–2550 of 6092 papers

TitleStatusHype
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving—0
DualAD: Disentangling the Dynamic and Static World for End-to-End Driving—0
DSNet for Real-Time Driving Scene Semantic Segmentation—0
DSNet: An Efficient CNN for Road Scene Segmentation—0
BirdSLAM: Monocular Multibody SLAM in Bird's-Eye View—0
Adaptive Automotive Radar data Acquisition—0
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction—0
Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction—0
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators—0
BioDrone: A Bionic Drone-based Single Object Tracking Benchmark for Robust Vision—0
A Cooperative Perception System Robust to Localization Errors—0
Motion Prediction Performance Analysis for Autonomous Driving Systems and the Effects of Tracking Noise—0
DRoPE: Directional Rotary Position Embedding for Efficient Agent Interaction Modeling—0
Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques—0
Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving—0
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining—0
Adaptive and Fast Combined Waveform-Beamforming Design for mmWave Automotive Joint Communication-Radar—0
DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning—0
DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving—0
Bi-Level Optimization Augmented with Conditional Variational Autoencoder for Autonomous Driving in Dense Traffic—0
Driving through the Lens: Improving Generalization of Learning-based Steering using Simulated Adversarial Examples—0
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model—0
A Near Sensor Edge Computing System for Point Cloud Semantic Segmentation—0
Adapting to Unseen Environments through Explicit Representation of Context—0
4D mmWave Radar in Adverse Environments for Autonomous Driving: A Survey—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