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

Showing 16811690 of 2605 papers

TitleStatusHype
On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator0
Improving Freeway Merging Efficiency via Flow-Level Coordination of Connected and Autonomous Vehicles0
Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition SystemsCode1
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack0
Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging0
Learning off-road maneuver plans for autonomous vehicles0
Detectron2 Object Detection & Manipulating Images using CartoonizationCode4
Agent-aware State Estimation in Autonomous VehiclesCode0
Understanding the merging behavior patterns and evolutionary mechanism at freeway on-ramps0
Towards Data-Driven Synthesis of Autonomous Vehicle Safety Concepts0
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Benchmark Results

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