Back to List
Hesai Technology Unveils EXT Sensor: The Industry's First Lidar Combining Spatial and Color Detection
Product LaunchLidarAutonomous DrivingHesai

Hesai Technology Unveils EXT Sensor: The Industry's First Lidar Combining Spatial and Color Detection

Chinese lidar manufacturer Hesai has announced the launch of its new EXT sensor, marking a significant technological milestone in the autonomous driving and robotics sector. Powered by the company's proprietary in-house Picasso chip, the EXT sensor is distinguished as the industry's first lidar solution to integrate both spatial and color detection capabilities. According to Hesai co-founder Sun Kai, this dual-functionality allows the sensor to provide a more comprehensive data set for environmental perception. The development highlights Hesai's commitment to vertical integration through its custom chip design, aiming to enhance the precision of object recognition by adding a color dimension to traditional 3D spatial mapping.

Tech in Asia
Share

Key Takeaways

  • Innovative Dual-Detection: The EXT sensor is the first in the lidar industry to offer simultaneous spatial and color detection.
  • Proprietary Technology: The sensor is powered by Hesai's in-house developed Picasso chip.
  • Enhanced Perception: By combining color with spatial data, the sensor aims to provide more detailed environmental mapping.
  • Industry Leadership: Co-founder Sun Kai positions this as a pioneering move for the lidar market.

In-Depth Analysis

The Integration of Spatial and Color Data

Traditional lidar sensors primarily focus on measuring distances to create 3D point clouds, which represent the physical structure of the surroundings. Hesai's EXT sensor introduces a significant shift by incorporating color detection into this process. According to co-founder Sun Kai, this makes the EXT the industry's first lidar to bridge the gap between spatial awareness and visual color identification. This integration is designed to help autonomous systems better distinguish between objects that might have similar shapes but different visual characteristics, potentially improving the reliability of computer vision systems.

Powering Innovation with the Picasso Chip

A critical component of this technological advancement is the use of Hesai's proprietary Picasso chip. By developing its own silicon, Hesai maintains tighter control over the hardware-software integration required to process complex color and spatial data simultaneously. The transition to in-house chip design suggests a strategic move toward vertical integration, allowing the company to optimize performance and efficiency specifically for the EXT sensor's unique dual-detection requirements.

Industry Impact

The introduction of a color-detecting lidar sensor could redefine standards for environmental perception in the autonomous vehicle and robotics industries. By providing a richer data stream that includes both depth and color, Hesai is addressing one of the historical limitations of lidar—its inability to perceive visual information like traffic lights or road signs without the aid of secondary camera systems. This breakthrough may lead to more streamlined sensor suites and more robust object classification algorithms, reinforcing China's position in the global lidar market.

Frequently Asked Questions

Question: What makes the Hesai EXT sensor different from traditional lidar?

Unlike traditional lidar that only measures spatial distance to create 3D maps, the EXT sensor is the first to combine spatial detection with color detection in a single unit.

Question: What technology powers the new EXT sensor?

The EXT sensor is powered by the Picasso chip, which was developed in-house by Hesai.

Question: Who announced the launch of this new technology?

The announcement was made by Hesai, with co-founder Sun Kai highlighting the sensor's unique capabilities as an industry first.

Read Original Article

Related News

Friend AI Wearable Update: New Voice Interaction Capabilities and Significant Price Increase Analysis
Product Launch

Friend AI Wearable Update: New Voice Interaction Capabilities and Significant Price Increase Analysis

The AI wearable device known as 'Friend' has officially returned to the market, introducing a significant functional upgrade alongside a revised pricing strategy. According to recent reports, the device now features a new voice capability, allowing it to engage in verbal communication with its users. This marks a transition from its previous iterations, positioning the 'lonely AI wearable' as a more interactive companion. However, this technological advancement comes at a cost; the product now carries a much larger price tag. The 'enhanced price' suggests a shift in market positioning or a reflection of the increased costs associated with integrating sophisticated voice-based artificial intelligence into a wearable form factor. This update highlights the evolving nature of AI companions and the premium costs often associated with hardware-software integration in the wearable sector.

Google DeepMind Announces Gemini Robotics 2: A Major Leap Toward Full Whole-Body Control for Humanoid Robots
Product Launch

Google DeepMind Announces Gemini Robotics 2: A Major Leap Toward Full Whole-Body Control for Humanoid Robots

Google DeepMind has officially unveiled Gemini Robotics 2, a sophisticated AI model designed to provide comprehensive control over humanoid robots. This latest iteration marks a significant technological advancement over its predecessor; while the previous version was limited to managing a robot's upper body, Gemini Robotics 2 enables "whole-body motions." According to the announcement, the model can coordinate movements across the entire physical structure of a humanoid, extending from the feet to the fingertips. This shift toward integrated, full-body control is expected to enhance the fluidity and functional capabilities of robotic systems, allowing for more complex interactions and maneuvers that require total body synchronization. The update positions Google DeepMind at the forefront of the effort to create more versatile and capable autonomous humanoid machines.

Product Launch

Kimi K3-256k Launch: Optimizing Flagship Coding Performance with Tiered Context Windows

Kimi Code has officially introduced the Kimi K3-256k model, a context-optimized version of its flagship 2.8T parameter Kimi K3 model. This new iteration is designed to deliver identical performance to the 1M context version within a 256k limit while reducing quota consumption by approximately 50%. The update provides a comprehensive overview of the Kimi model ecosystem, including the K2.7 Code series for routine development. Crucially, the documentation outlines specific technical protocols for switching between models, emphasizing the 'compact' process required for context management in tools like Kimi Code CLI and Claude Code. Users are also cautioned regarding the lack of video input support in the K3-256k version, necessitating strategic session management when transitioning between high-capacity and high-efficiency models.