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 3376–3400 of 6092 papers

TitleStatusHype
Data-driven Traffic Simulation: A Comprehensive Review—0
Recent Advances in Multi-modal 3D Scene Understanding: A Comprehensive Survey and Evaluation—0
DICE: Diverse Diffusion Model with Scoring for Trajectory Prediction—0
P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic SegmentationCode0
Equivariant Map and Agent Geometry for Autonomous Driving Motion Prediction—0
Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer—0
One-Bit Byzantine-Tolerant Distributed Learning via Over-the-Air Computation—0
Using Experience Classification for Training Non-Markovian Tasks—0
Reinforcement learning with non-ergodic reward increments: robustness via ergodicity transformationsCode0
Path Following Control of Automated Vehicle Considering Uncertainties and Disturbances with Parametric Varying—0
DORec: Decomposed Object Reconstruction and Segmentation Utilizing 2D Self-Supervised Features—0
Multimodal Object Query Initialization for 3D Object Detection—0
Real-Time Traffic Sign Detection: A Case Study in a Santa Clara Suburban Neighborhood—0
Revisiting Multi-modal 3D Semantic Segmentation in Real-world Autonomous Driving—0
GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection—0
HeightFormer: A Multilevel Interaction and Image-adaptive Classification-regression Network for Monocular Height Estimation with Aerial Images—0
Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles—0
Data-driven Invariance for Reference Governors—0
If our aim is to build morality into an artificial agent, how might we begin to go about doing so?—0
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit SurfaceCode0
Dealing with uncertainty: balancing exploration and exploitation in deep recurrent reinforcement learningCode0
Performance/power assessment of CNN packages on embedded automotive platforms—0
NSM4D: Neural Scene Model Based Online 4D Point Cloud Sequence Understanding—0
Optimizing the Placement of Roadside LiDARs for Autonomous Driving—0
Safe-by-Construction Autonomous Vehicle Overtaking using Control Barrier Functions and Model Predictive Control—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