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 2501–2550 of 6092 papers

TitleStatusHype
Dynamic Prioritization of Emergency Vehicles For Self-Organizing Traffic using VTL+EV *—0
Dynamic Point Cloud Denoising via Gradient Fields—0
Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation—0
An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation—0
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving—0
Dynamic Input for Deep Reinforcement Learning in Autonomous Driving—0
Boosting 3D Object Detection with Semantic-Aware Multi-Branch Framework—0
An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training—0
Dynamic Compression Ratio Selection for Edge Inference Systems with Hard Deadlines—0
Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving—0
BLOS-BEV: Navigation Map Enhanced Lane Segmentation Network, Beyond Line of Sight—0
An Efficient Generation Method based on Dynamic Curvature of the Reference Curve for Robust Trajectory Planning—0
Blind Multimodal Quality Assessment of Low-light Images—0
An Efficient FPGA Accelerator for Point Cloud—0
Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States—0
L2RDaS: Synthesizing 4D Radar Tensors for Model Generalization via Dataset Expansion—0
3D-DEEP: 3-Dimensional Deep-learning based on elevation patterns forroad scene interpretation—0
Blind and Channel-agnostic Equalization Using Adversarial Networks—0
DuET: Dual Incremental Object Detection via Exemplar-Free Task Arithmetic—0
Blending Data-Driven Priors in Dynamic Games—0
DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving—0
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation—0
Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving—0
An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving—0
Dual-Domain Homogeneous Fusion with Cross-Modal Mamba and Progressive Decoder for 3D Object Detection—0
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