SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1511–1520 of 2605 papers

TitleStatusHype
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-AttentionCode1
Real-time decision-making for autonomous vehicles under faults—0
Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits—0
Causal Scene BERT: Improving object detection by searching for challenging groups of data—0
HALS: A Height-Aware Lidar Super-Resolution Framework for Autonomous Driving—0
Two-Dimensional Arbitrary Angle of Arrival in Radar Target Simulation—0
Learning Interpretable, High-Performing Policies for Autonomous DrivingCode1
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic MaskingCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced Graph Attention NetworkCode1
Show:102550
← PrevPage 152 of 261Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified