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 1541–1550 of 2605 papers

TitleStatusHype
A sensor fusion system with thermal infrared camera and LiDAR for autonomous vehicles and deep learning based object detection—0
Driving Conflict Resolution of Autonomous Vehicles at Unsignalized Intersections: A Differential Game Approach—0
Modality-Agnostic Learning for Radar-Lidar Fusion in Vehicle Detection—0
HiVT: Hierarchical Vector Transformer for Multi-Agent Motion PredictionCode2
Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry ConstraintsCode1
Emergence of Cascading Risk and Role of Spatial Locations of Collisions in Time-Delayed Platoon of Vehicles—0
Multi-Adversarial Safety Analysis for Autonomous Vehicles—0
Learning Based Task Offloading in Digital Twin Empowered Internet of Vehicles—0
Grounding Linguistic Commands to Navigable RegionsCode0
Intersection focused Situation Coverage-based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLACode1
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Benchmark Results

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