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 391–400 of 2605 papers

TitleStatusHype
From One to the Power of Many: Invariance to Multi-LiDAR Perception from Single-Sensor Datasets—0
Analysis of a platooned car-following model with different inter-platoon communication levels—0
GSON: A Group-based Social Navigation Framework with Large Multimodal Model—0
A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on an Autonomous Vehicle Traffic Sign Classification System—0
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles—0
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models—0
Benchmarking Deep Learning Models for Object Detection on Edge Computing Devices—0
System-Level Performance Metrics Sensitivity of an Electrified Heavy-Duty Mobile Manipulator—0
A Computer Vision Approach for Autonomous Cars to Drive Safe at Construction Zone—0
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference SpeedCode1
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Benchmark Results

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