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

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Showing 111–120 of 2605 papers

TitleStatusHype
DyTTP: Trajectory Prediction with Normalization-Free Transformers—0
Safe and Efficient Coexistence of Autonomous Vehicles with Human-Driven Traffic at Signalized Intersections—0
EP-Diffuser: An Efficient Diffusion Model for Traffic Scene Generation and Prediction via Polynomial RepresentationsCode0
TRATSS: Transformer-Based Task Scheduling System for Autonomous Vehicles—0
Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object DetectionCode0
Systematic Literature Review on Vehicular Collaborative Perception -- A Computer Vision Perspective—0
Data-Driven Reachability Analysis for Piecewise Affine SystemsCode0
CORTEX-AVD: A Framework for CORner Case Testing and EXploration in Autonomous Vehicle Development—0
SLACK: Attacking LiDAR-based SLAM with Adversarial Point Injections—0
Enhancing Traffic Sign Recognition On The Performance Based On Yolov8—0
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Benchmark Results

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