Bendix and Aeva Partner to Build Lidar-Based Active Safety System for Class 8
Bendix Commercial Vehicle Systems and Aeva will co-develop an active safety system combining Aeva's frequency-modulated continuous-wave lidar with Bendix's collision-mitigation platform.
What lidar technology will Bendix use in the new Class 8 safety system?
Bendix Commercial Vehicle Systems and Aeva announced plans to develop an active safety system for Class 8 trucks that integrates Aeva's frequency-modulated continuous-wave (FMCW) lidar with Bendix's existing collision-mitigation hardware. The partnership targets fleets looking to upgrade beyond radar-only ADAS packages.
Aeva's FMCW lidar measures both distance and velocity of objects in a single sensor pass, a capability radar and camera systems handle separately. The technology uses light waves to detect objects up to 500 meters ahead and calculates their speed without requiring a second sensor reading. Traditional time-of-flight lidar measures distance only; velocity calculation requires comparing multiple scans.
Bendix currently ships radar-based forward collision warning and automatic emergency braking systems on Freightliner, International, Kenworth, Peterbilt, Mack, and Volvo tractors. The Aeva partnership marks Bendix's first public lidar integration for active safety, distinct from the camera-radar bundles most OEMs spec today.
When will the Bendix-Aeva system ship to fleets?
Neither company disclosed a production timeline, pricing, or which OEMs will offer the system as a factory option. Bendix and Aeva described the announcement as a development agreement, not a product launch. No pilot-fleet names, test routes, or validation schedules were released.
Fleets evaluating lidar-equipped ADAS face two unknowns: recalibration cost after windshield replacement and sensor-cleaning requirements in winter slush. FMCW lidar uses a different wavelength than time-of-flight units, which may affect how road spray and ice buildup degrade performance. Bendix has not published service bulletins or maintenance intervals for the Aeva hardware.
How does FMCW lidar compare to radar for collision mitigation?
Radar penetrates fog, rain, and snow better than any optical sensor, but it struggles to classify stationary objects and pedestrians. Lidar provides higher-resolution object detection and can distinguish a stopped truck from a highway sign at 300 meters, a scenario where radar often triggers false positives or fails to alert. The tradeoff: lidar performance drops when the lens is covered in road spray or mud, conditions radar handles without issue.
Bendix's existing Wingman Fusion system combines radar with a forward-facing camera to reduce false alerts. Adding lidar creates a three-sensor stack, which improves object classification but increases the number of components that must stay calibrated. A rock chip that cracks the windshield in front of the lidar module can require dealership recalibration, a cost some fleets report at $800 to $1,200 per event depending on the OEM.
Aeva's velocity-on-detection capability may reduce the processing lag between when an object appears and when the system calculates whether it is closing or stationary. Current radar-camera systems sample multiple frames to derive velocity, a process that adds 100 to 200 milliseconds. In a panic-stop scenario at highway speed, that delay costs 10 to 20 feet of braking distance.
What this means for small fleets
Lidar-equipped ADAS will likely debut as a premium option on 2027 or 2028 model-year tractors, priced above current Wingman Fusion or Volvo Active Driver Assist packages. Fleets that already see insurance discounts from forward collision warning and AEB systems may not gain additional premium relief until insurers publish loss data on lidar-equipped units.
The Bendix-Aeva partnership follows a pattern where autonomous truck developers use lidar as a primary sensor, while active-safety suppliers have stuck with radar and cameras due to cost and serviceability concerns. If Bendix can deliver a lidar system that survives 500,000 miles without frequent recalibration, it narrows the sensor gap between driver-assist and fully autonomous platforms. If recalibration becomes a quarterly shop visit, adoption will stall outside large fleets with in-house ADAS techs.
