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Found 17 papers, 9 papers with code
Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models
In terms of methodology, we propose Continual LLaVA, a rehearsal-free method tailored for continual instruction tuning in LVLMs.
Panacea+: Panoramic and Controllable Video Generation for Autonomous Driving
The field of autonomous driving increasingly demands high-quality annotated video training data.
Is a 3D-Tokenized LLM the Key to Reliable Autonomous Driving?
Despite its simplicity, Atlas demonstrates superior performance in both 3D detection and ego planning tasks on nuScenes dataset, proving that 3D-tokenized LLM is the key to reliable autonomous driving.
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition
In the realm of autonomous driving, robust perception under out-of-distribution conditions is paramount for the safe deployment of vehicles.
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control
Autonomous driving progress relies on large-scale annotated datasets.
Stream Query Denoising for Vectorized HD Map Construction
This paper introduces the Stream Query Denoising (SQD) strategy as a novel approach for temporal modeling in high-definition map (HD-map) construction.
Panacea: Panoramic and Controllable Video Generation for Autonomous Driving
This work notably propels the field of autonomous driving by effectively augmenting the training dataset used for advanced BEV perception techniques.
ADriver-I: A General World Model for Autonomous Driving
Based on the vision-action pairs, we construct a general world model based on MLLM and diffusion model for autonomous driving, termed ADriver-I.
VLM-Eval: A General Evaluation on Video Large Language Models
Despite the rapid development of video Large Language Models (LLMs), a comprehensive evaluation is still absent.
TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
Further, we propose TopoMLP, a simple yet high-performance pipeline for driving topology reasoning.
Ranked #5 on
3D Lane Detection
on OpenLane-V2 val
Language Prompt for Autonomous Driving
A new trend in the computer vision community is to capture objects of interest following flexible human command represented by a natural language prompt.
Far3D: Expanding the Horizon for Surround-view 3D Object Detection
Recently 3D object detection from surround-view images has made notable advancements with its low deployment cost.
Ranked #1 on
3D Object Detection
on nuScenes Camera Only
The 1st-place Solution for CVPR 2023 OpenLane Topology in Autonomous Driving Challenge
We present the 1st-place solution of OpenLane Topology in Autonomous Driving Challenge.
Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection
On the standard nuScenes benchmark, it is the first online multi-view method that achieves comparable performance (67. 6% NDS & 65. 3% AMOTA) with lidar-based methods.
Ranked #1 on
3D Multi-Object Tracking
on nuScenes Camera Only
Cross Modal Transformer: Towards Fast and Robust 3D Object Detection
In this paper, we propose a robust 3D detector, named Cross Modal Transformer (CMT), for end-to-end 3D multi-modal detection.
PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
More specifically, we extend the 3D position embedding (3D PE) in PETR for temporal modeling.
Ranked #2 on
Bird's-Eye View Semantic Segmentation
on nuScenes
(IoU lane - 224x480 - 100x100 at 0.5 metric)
PETR: Position Embedding Transformation for Multi-View 3D Object Detection
Object query can perceive the 3D position-aware features and perform end-to-end object detection.
Ranked #3 on
3D Object Detection
on TruckScenes
