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 311320 of 2605 papers

TitleStatusHype
MinkLoc++: Lidar and Monocular Image Fusion for Place RecognitionCode1
Raindrops on Windshield: Dataset and Lightweight Gradient-Based Detection AlgorithmCode1
Multimodal Object Detection via Probabilistic EnsemblingCode1
Topo-boundary: A Benchmark Dataset on Topological Road-boundary Detection Using Aerial Images for Autonomous DrivingCode1
iCurb: Imitation Learning-based Detection of Road Curbs using Aerial Images for Autonomous DrivingCode1
Fooling LiDAR Perception via Adversarial Trajectory PerturbationCode1
SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point CloudCode1
SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic EventsCode1
S-AT GCN: Spatial-Attention Graph Convolution Network based Feature Enhancement for 3D Object DetectionCode1
Understanding the Robustness of Skeleton-based Action Recognition under Adversarial AttackCode1
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Benchmark Results

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